WO2004008334A1 - Method for caching and delivery of compressed content in a content delivery network - Google Patents

Method for caching and delivery of compressed content in a content delivery network Download PDF

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Publication number
WO2004008334A1
WO2004008334A1 PCT/US2003/021760 US0321760W WO2004008334A1 WO 2004008334 A1 WO2004008334 A1 WO 2004008334A1 US 0321760 W US0321760 W US 0321760W WO 2004008334 A1 WO2004008334 A1 WO 2004008334A1
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WO
WIPO (PCT)
Prior art keywords
content
given
cache
server
compression
Prior art date
Application number
PCT/US2003/021760
Other languages
French (fr)
Inventor
Michael M. Afergan
Charisma Schlossberg
Duke P. Hong
Satish Balusu Rao
Original Assignee
Akamai Technologies, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Akamai Technologies, Inc. filed Critical Akamai Technologies, Inc.
Priority to AU2003251870A priority Critical patent/AU2003251870A1/en
Priority to CA2491740A priority patent/CA2491740C/en
Priority to EP03764529.8A priority patent/EP1535177B1/en
Publication of WO2004008334A1 publication Critical patent/WO2004008334A1/en
Priority to AU2010201114A priority patent/AU2010201114B2/en

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/66Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/16Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
    • G06F15/163Interprocessor communication
    • G06F15/167Interprocessor communication using a common memory, e.g. mailbox
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/957Browsing optimisation, e.g. caching or content distillation
    • G06F16/9574Browsing optimisation, e.g. caching or content distillation of access to content, e.g. by caching
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/20Hop count for routing purposes, e.g. TTL
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • H04L67/568Storing data temporarily at an intermediate stage, e.g. caching
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/04Protocols for data compression, e.g. ROHC

Definitions

  • the present invention relates generally to techniques for selectively storing content in a compressed form in a content delivery network edge server cache and for serving the content to an end user browser.
  • a content delivery network is a collection of content servers and associated control mechanisms that offload work from Web site origin servers by delivering content on their behalf to end users.
  • a well-managed CDN achieves this goal by serving some or all of the contents of a site's Web pages, thereby reducing the customer's costs while enhancing an end user's browsing experience from the site.
  • the CDN uses a request routing mechanism to locate a CDN content server close to the client to serve each request directed to the CDN, where the notion of "close” is based, in part, on evaluating results of network traffic tests.
  • a Web server may compress an object, e.g., the HTML comprising a base page, to reduce the download time of the page from the server to a requesting end user browser.
  • Most browsers in use today are capable of receiving compressed content and decompressing such content for display.
  • a recent study showed that over 95% of users have browsers capable of decoding compressed HTMLs.
  • a browser indicates to a Web server that it can receive compressed content in the HTTP request header.
  • the Web server may send compressed content, indicating in the HTTP response header that the object was compressed and should be uncompressed before rendering. Servers should not send compressed HTMLs to browsers that do not include decompression capability in the request header.
  • CDNSPs content delivery network service providers
  • a technical advantage is provided by selectively compressing given content provider content as it is received (from an origin server) for caching at a CDN edge server, and/or selectively delivering given content in a compressed format from the edge server to a requesting end user browser.
  • the edge server utilizes a publicly available compression utility such as gzip (GNU zip), although any convenient utility may be used.
  • the edge server has a first routine running on its forward side, i.e., the side that connects the edge server to one or more content provider origin servers. The first routine receives uncompressed content from a content provider origin server and selectively compresses that content to make more efficient use of the edge server's cache space.
  • a second routine runs on the server's client side, i.e., the side that connects the edge server to requesting end user browsers.
  • the second routine compresses content that has been cached in an uncompressed form so that such content can be delivered by the edge server (in such format) to the requesting end user browser.
  • the routines are selectively controlled by customer-specific metadata supplied to the edge server.
  • compression metadata is defined for given compressible file types.
  • a first metadata tag controls the edge server to take uncompressed content from an origin server and to apply the first routine to compress the content, thereby allowing the edge server to make more efficient use of its cache space.
  • a second metadata tag controls the edge server to simply cache content in its uncompressed form (if cacheable) and, using the second routine, to compress the content when a request for compressed content is received at the edge server.
  • the first and second routines are gzip. Because the majority of browsers in use today support gzipped content, content associated with the first or second metadata tags is delivered to the end user in a compressed form to provide last mile accelerated delivery.
  • compression metadata is applied to compressible file types, e.g., those with a MIME type such as HTML, cascading style sheets, and the like.
  • MIME type
  • the benefits of compression for such content are significant.
  • page sizes are reduced to roughly !4-th of their original sizes, significantly reducing the transfer time to the end user.
  • the present invention provides an improved CDN edge server that fetches, compresses and caches content obtained from a content provider origin server, and/or compresses content on-the-fly as it is being delivered.
  • These features preferably are enabled using simple metadata as applied to specified files, directories, host names or any other constraints.
  • Figure 1 is a block diagram of a known content delivery network in which the present invention may be implemented
  • Figure 2 illustrates a typical machine configuration for a CDN edge server
  • Figure 3 illustrates a CDN edge server that has been modified according to the present invention to include a first compression utility on its forward side, and a second compression utility on its client side, with these utilities being selectively controlled by customer-specific metadata;
  • Figure 4 is a chart illustrating expected TCP transfer times for various file sizes using normal delivery and compressed delivery assuming a 4:1 compression ratio
  • Figure 5 is a chart illustrating compression gains versus file size for broadband and dial-up users.
  • a CDN is a network of geographically-distributed content delivery nodes that are arranged for efficient delivery of content on behalf of third party content providers.
  • a CDN is implemented as a combination of a content delivery infrastructure, a request-routing mechanism, and a distribution infrastructure.
  • the content delivery infrastructure usually comprises a set of "surrogate" origin servers that are located at strategic locations (e.g., Internet network access points, Internet Points of Presence, and the like) for delivering content to requesting end users.
  • the request-routing mechanism allocates servers in the content delivery infrastructure to requesting clients in a way that, for web content delivery, minimizes a given client's response time and, for streaming media delivery, provides for the highest quality.
  • the distribution infrastructure consists of on-demand or push- based mechanisms that move content from the origin server to the surrogates.
  • An effective CDN serves frequently-accessed content from a surrogate that is optimal for a given requesting client.
  • a single service provider operates the request-routers, the surrogates, and the content distributors.
  • that service provider establishes business relationships with content publishers and acts on behalf of their origin server sites to provide a distributed delivery system.
  • an Internet content delivery infrastructure usually comprises a set of "surrogate" origin servers 102 that are located at strategic locations (e.g., Internet network access points, and the like) for delivering copies of content to requesting end users 119.
  • a surrogate origin server is defined, for example, in IETF Internet Draft titled “Requirements for Surrogates in the HTTP" dated August 9, 2000, which is incorporated herein by reference.
  • the request-routing mechanism 104 allocates servers 102 in the content delivery infrastructure to requesting clients.
  • the distribution infrastructure consists of on-demand or push-based mechanisms that move content from the origin server to the surrogates.
  • a CDN service provider may organize sets of surrogate origin servers as a group or so-called
  • a CDN region 106 typically comprises a set of one or more content servers that share a common back-end network, e.g., a LAN, and that are located at or near an Internet access point.
  • a typical CDN region may be co-located within an Internet Service Provider (ISP) Point of Presence (PoP) 108.
  • ISP Internet Service Provider
  • PoP Point of Presence
  • a representative CDN content server is a Pentium-based caching appliance running an operating system (e.g., Linux, Windows NT, Windows 2000) and having suitable RAM and disk storage for CDN applications and content delivery network content (e.g., HTTP content, streaming media and applications).
  • Such content servers are sometimes referred to as "edge” servers as they are located at or near the so-called outer reach or “edge” of the Internet.
  • the CDN typically also includes network agents 109 that monitor the network as well as the server loads. These network agents are typically co-located at third party data centers or other locations.
  • Mapmaker software 107 receives data generated from the network agents and periodically creates maps that dynamically associate IP addresses (e.g., the IP addresses of client-side local name servers) with the CDN regions.
  • Content may be identified for delivery from the CDN using a content migrator or rewrite tool 106 operated, for example, at a participating content provider server.
  • Tool 106 rewrites embedded object URLs to point to the CDNSP domain.
  • a request for such content is resolved through a CDNSP-managed DNS to identify a "best" region, and then to identify an edge server within the region that is not overloaded and that is likely to host the requested content.
  • a participating content provider may simply direct the CDNSP to serve an entire domain (or subdomain) by a DNS directive (e.g., a CNAME).
  • a DNS directive e.g., a CNAME
  • the CDNSP may provide object-specific metadata to the CDN content servers to determine how the CDN content servers will handle a request for an object being served by the CDN.
  • Metadata refers to a set of control options and parameters for the object (e.g., coherence information, origin server identity information, load balancing information, customer code, other control codes, etc.), and such information may be provided to the CDN content servers via a configuration file, in HTTP headers, or in other ways.
  • the Uniform Resource Locator (URL) of an object that is served from the CDN in this manner does not need to be modified by the content provider.
  • a customer's DNS system directs the name query (for whatever domain is in the URL) to the CDNSP DNS request routing mechanism.
  • the browser passes the object request to the server, which applies the metadata supplied from a configuration file or HTTP response headers to determine how the object will be handled.
  • the CDNSP may operate a metadata transmission system 116 comprising a set of one or more servers to enable metadata to be provided to the CDNSP content servers.
  • the system 116 may comprise at least one control server 118, and one or more staging servers 120a-n, each of which is typically an HTTP server (e.g., Apache). Metadata is provided to the control server 118 by the CDNSP or the content provider (e.g., using a secure extranet application) and periodically delivered to the staging servers 120a-n.
  • the staging servers deliver the metadata to the CDN content servers as necessary.
  • Figure 2 illustrates a typical machine configuration for a CDN content edge server.
  • the content server 200 is a caching appliance running an operating system kernel 202, a file system cache 204, CDN software 206, TCP connection manager 208, and disk storage 210.
  • CDN software 206 creates and manages a "hot" object cache 212 for popular objects being served by the CDN. It may also provide other CDN-related functions, such as request routing, in-region load balancing, and the like.
  • the content server 200 receives end user requests for content, determines whether the requested object is present in the hot object cache or the disk storage, serves the requested object via HTTP (if it is present) or establishes a connection to another content server or an origin server to attempt to retrieve the requested object upon a cache miss.
  • the edge server operates in a "pull" manner, wherein an object is pulled into the cache imtially upon the first request to the cache - which will generate a cache miss since the object is not present.
  • the edge server includes a forward or "server” side, for handling communications between the edge server and the content provider origin servers, and a client side, for handling communications between the end user browsers and the edge server.
  • An illustrative architecture of this type is shown in the paper titled "Intelligent Caching For World-Wide Web Objects," Wessels, Proceedings of the LNET '95 Conference 1995.
  • FIG. 3 illustrates a CDN edge server 300 according to the present invention.
  • This server has been modified to include a first compression utility 302 on its forward side 304, and a second compression utility 306 on its client side 308.
  • Each compression utility is preferably gzip, which is an open source compression routine that provides high performance and that is compatible with most existing end user browsers.
  • Edge server 300 also includes a metadata handling routine 310 for applying customer-specific metadata 312 to control application of the first and second compression routines 302 and 306.
  • a first metadata tag e.g., gzip-incg
  • a second metadata tag e.g., gzip-gh-to-browser
  • the first metadata tag is associated with content that, upon receipt from the origin server, is desired to be stored in a compressed form.
  • Such content typically, will be delivered to a requesting end user as-is, in the sense that the cached content is merely retrieved and sent to the end user in its already-compressed state.
  • the second metadata tag normally is associated with content that, upon receipt from the origin server, has not been stored in a compressed form but where it is desired to take advantage of last mile acceleration between the edge server and the requesting end user.
  • both the first and second metadata tags cause the edge server to take uncompressed content and serve it to browsers, either compressed or uncompressed, depending on whether they advertise support for compressed content.
  • the first metadata tag is used for objects that have cache time-to- live (TTL) greater than zero and that are not associated with edge side include (ESI) processing.
  • ESI is a simple markup language to describe cacheable and noncacheable Web page components that can be aggregated, assembled and delivered at the network edge.
  • developers can identify content fragments for dynamic assembly at the edge server.
  • ESI also specifies a content invalidation protocol for transparent content management across ESI-compliant solutions, such as application servers and content delivery networks.
  • the ability to assemble dynamic pages from individual page fragments means that only non-cacheable or expired fragments need to be fetched from the origin Web site, thereby lowering the need to retrieve complete pages and decreasing the load on the Web site's content generation infrastructure.
  • ESI ESI-incg tag
  • the object is compressed, thereby allowing the edge server to make more efficient use of its cache space.
  • the gzip-incg tag is not set for content nominated for or otherwise associated with ESI processing. In such case, it is typically more efficient just to cache the content unzipped, use it as required by ESI, and then compress the result before serving.
  • TTL time-to-live
  • This determination may be done selectively, e.g., when the object is fetched upon a cache miss and the requesting end user connects to the edge server over a high speed connection.
  • This determination of whether to compress the object may be done as follows, although any convenient technique may be used: when the object is returned from the origin server, the software receives a response header indicating the object's size and TTL (or other cache control data). Based on the size information, the software determines the amount of processing that will be required to compress and store the object in cache given the CPU processing speed, and by examining file properties, notably file size.
  • This operation can be used whether or not metadata tags are used to control the compression routine.
  • the metadata handling routine is configured to override the gzip-incg metadata tag in such circumstances.
  • the second metadata tag is used for objects that are nominated for or are associated with ESI processing or that have no-store response headers.
  • the gzip-gh-to-browser tag causes the edge server to cache content in its uncompressed form (if cacheable) and to compress (via gzip for example) the content every time a request for compressed content is received at the edge server.
  • gzip-incg For cacheable content not being ESI-processed, it is preferably to use gzip-incg for the reasons set forth above, but for no-store content, gzip-gh-to-browser must be used to take advantage of compression.
  • gzip metadata is applied only to compressible file types, i.e., those with a MLME type of text/html.
  • Other types of content e.g., images
  • the gzip metadata can be applied to these files in any convenient manner, e.g., using a response-header match, or a match on file extensions known to be of text/html type, e.g., html, htm, asp, cfrn, jsp, jhtml, and the like.
  • the application of compression must be based on information about the browser.
  • HTTP 1.1 compliant browsers advertise support for gzipped content by including an "accept encoding: gzip" header in the requests they send. Therefore, if a browser does not advertise this support (either because it does not have it and/or does not wish to advertise it), the system must dynamically detect this (e.g., by looking at the HTTP headers) and serve an uncompressed copy of the content. Similarly, there are some browsers that do not handle gzipped content correctly even though they advertise support for with this header. If the CDN customer desires to exclude certain user-agents from being gzipped to the client, it maybe desirable to nest the appropriate gzip metadata tag within a response header match and/or to have a dynamically updated set of rules regarding the support provided by various browsers.
  • compressed and uncompressed objects may be cached separately in the edge server cache if it is desired to apply last mile acceleration based on user-agent. This can be accomplished by generating a different cache key (which is used to control storage) for the different types of content.
  • the origin server is part of the cache key.
  • a compressed object can be stored separately by generating a cache key using an origin-server tag to override a default origin server. The value used can be a bogus host header, in which case the edge server can use a forward DNS name with a value of the real origin server set to ensure that the edge server can get the object on a cache miss.
  • the present invention provides many advantages. With last mile compression between the edge server and the end user, the content provider does not have compress the content before making it available to the CDN.
  • the CDN edge servers fetch original content from the content provider's origin site the same way as in the prior art, compress the content, cache the compressed version, and serve the compressed objects, and these actions are taken in accordance with the metadata for a particular customer.
  • the compression metadata is enabled for compressible content such as HTMLs, javascript (.js), and stylesheets (.ess), and it is disabled for images, sound and video clips, and the like, where compression does not provide performance enhancements. Compression, using the gzip algorithm for example, can reduce the size of an HTML page by a factor of anywhere from 3 to 6.
  • a reduction by a factor of 4 means that the base page download time can be reduced by up to 75% or more depending on the size of the object and the various TCP parameters employed. Compression may additionally be applied to javascript and style sheets components of a page. Actual reduction in download time maybe slightly less than 75% due to TCP's slow start algorithm. Decompression, which is a much faster process then compression, should not take a significant amount of time.
  • Figure 4 below shows expected TCP transfer times for various file sizes using normal delivery and compressed delivery assuming a 4:1 compression ratio. TCP transfer time includes connection set-up and request, but does not include request processing time. For broadband (BB) users, the figure shows time reductions over 1 second for lOOkB files.
  • BB broadband
  • the content provider may consider using compressed delivery and when it may not want to do so. Once it is determined when and for what content compression will be used, the content provider and/or the CDNSP provisions the edge servers using metadata.
  • CDN edge server turnaround latency with compression is about equal to the latency for normal delivery while drastically reducing the object download time.
  • TCP packetization and TCP slow start gains from compressed delivery are seen if the page sizes (uncompressed) are at least 3 kB for dial-up users and 5 kB for broadband users as shown in Figure 5.
  • larger HTML objects make up a larger portion of the total page time when including embedded objects (images, graphics, and the like). The greater the portion of the total page time that compression can affect, the greater the gain. Compression only impacts the object download time but not the first byte time.
  • the following metadata example demonstrates the application of last mile acceleration according to the present invention to requests for the following file types: html, htm, and asp from Microsoft Internet Explorer 5 and 6 browsers on a Microsoft Windows platform.
  • the metadata is in the form of last mile acceleration (LMA) tags: gzip-incg and gzip-gh-to-browser.
  • LMA last mile acceleration
  • This metadata is supplied to the edge server via the metadata transport mechanism described above, or by any other convenient method or means.
  • gzip is applied only to compressible content, including implicit index pages of directories and excluding javascript files.
  • the gzip-incg routine is used on cached content, and the gzip-gh-to-browser is used on no-stored content.
  • the gzip-incg and enable- accept-chunking are not applied to the same content.
  • gzip is applied only to requests from MSIE 5 on a Windows platform: ⁇ ?xml version ⁇ " 1.0"?> ⁇ configs>
  • the CDN customer is billed for the last mile acceleration service based on the size of the uncompressed content.
  • the CDN edge server logs (and the customer is billed for) the size of the object as if it had been served without compression.
  • Metadata tags to control the compression routine
  • a certain file type e.g., html, htm, or the like
  • the software may be configured to automatically determine what content should be compressed by looking at file types and/or by some preprocessing to determine the compressability of the content.
  • An example of this would be a case in which the system automatically determines that HTML pages should be compressed by either preprocessing the document and/or using a lookup table of file type extensions but not compress a given JPEG file based on the same steps.
  • selective EXE files may be compressed, as another example.
  • the software may be configured to automatically modify the operative steps (e.g., by not compressing certain files and/or file types) based on inherent information (e.g., as defined by a lookup table) that is correlated with browser information.
  • inherent information e.g., as defined by a lookup table
  • a given compression routine may be selectively run based on a determination of the bandwidth of the end user's connection and then modifying one of the steps accordingly.
  • the connection is high speed, it may be undesirable to compress no-store content due to the processing overhead involved in making compression.
  • the system may decide to uncompress an object stored compressed in cache before serving.
  • the decision to store an object in compressed form, or to serve an object in compressed form, as the case may be, can vary on a user request-by-user request basis.
  • the techniques of the present invention may be implemented in other than a content delivery network.
  • An alternative implementation, for example, is to place the above-described functionality in a server located at or adjacent a content provider's site.
  • the server provides caching as does a conventional Web site forward proxy.
  • the CDN service provider or some other entity then runs the machine as a compression service on the content provider's behalf.
  • the present invention thus includes the provision of a managed compression service wherein the service provider (such as the CDNSP) provides the mechanism (e.g., a standalone box, software, and the like) to a provisioned Web site to enable content to be stored at and/or delivered from the proxy in a compressed format.
  • the service provider such as the CDNSP
  • the mechanism e.g., a standalone box, software, and the like
  • An alternative implementation is to create a single machine CDN, e.g., by locating the server at a given datacenter at which a Web site of a content provider is hosted. Domains that will be managed by the server are CNAMEd to a CDN-specific domain so that end users get mapped to the server.
  • the compression functionality is then implemented as has been described above.
  • the present invention may also be used to facilitate delivery of compressed content between servers across a CDN.
  • large CDNs typically include intermediate tiers between a given origin server and the edge servers.

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Abstract

A content delivery network (CDN) edge server (102) is provisioned to provide last mile acceleration of content to requesting end users (119). The CDN edge server fetches, compresses and caches content obtained from a content provider origin server (115), and serves that content in compressed form in response to receipt of an end user request for that content. It also provides “on-the-fly” compression of otherwise uncompressed content as such content is retrieved from cache and is delivered in response to receipt of an end user request for such content.

Description

METHOD FORCACHINGANDDELIVERYOFCOMPRESSED CONTENTINACONTENTDELIVERYNETWORK
BACKGROUND OFTHEINVENTION
This application contains subject matter protected by copyright. Technical Field The present invention relates generally to techniques for selectively storing content in a compressed form in a content delivery network edge server cache and for serving the content to an end user browser. Description of the Related Art
A content delivery network ("CDN") is a collection of content servers and associated control mechanisms that offload work from Web site origin servers by delivering content on their behalf to end users. A well-managed CDN achieves this goal by serving some or all of the contents of a site's Web pages, thereby reducing the customer's costs while enhancing an end user's browsing experience from the site. In operation, the CDN uses a request routing mechanism to locate a CDN content server close to the client to serve each request directed to the CDN, where the notion of "close" is based, in part, on evaluating results of network traffic tests.
Data compression techniques are well-known in the art. In HTTP 1.1 , a Web server may compress an object, e.g., the HTML comprising a base page, to reduce the download time of the page from the server to a requesting end user browser. Most browsers in use today are capable of receiving compressed content and decompressing such content for display. A recent study showed that over 95% of users have browsers capable of decoding compressed HTMLs. A browser indicates to a Web server that it can receive compressed content in the HTTP request header. The Web server may send compressed content, indicating in the HTTP response header that the object was compressed and should be uncompressed before rendering. Servers should not send compressed HTMLs to browsers that do not include decompression capability in the request header. The benefits of compressing data in a typical HTTP 1.1 client-server session is described in a W3C Note titled Network Performance Effects of HTTP/1.1. CSS1, and PNG, by Neilsen et al., June 1997, which is available at the following URL: http://www.w3.org/Protocols/HTTP/Performance/Pipeline.html.
While browsers have had the capability to decompress content for years, most servers do not for various reasons, primarily due to issues involving compatibility, processor workload and complexity of content management.
While content delivery network service providers (CDNSPs) have developed and implemented techniques for accelerating delivery of content between origin server sites and the CDN edge servers, delivery over the so-called "last mile" (from the ISP at which the edge server is located to the end user) has not been adequately addressed.
It would be highly desirable to accelerate the delivery of content between a CDN edge server and the requesting end user browser through selective delivery of compressed content.
BRIEF SUMMARY OF THE INVENTION
A technical advantage is provided by selectively compressing given content provider content as it is received (from an origin server) for caching at a CDN edge server, and/or selectively delivering given content in a compressed format from the edge server to a requesting end user browser. These techniques provide for effective last mile acceleration of content delivery in a CDN. Preferably, the edge server utilizes a publicly available compression utility such as gzip (GNU zip), although any convenient utility may be used. In one embodiment, the edge server has a first routine running on its forward side, i.e., the side that connects the edge server to one or more content provider origin servers. The first routine receives uncompressed content from a content provider origin server and selectively compresses that content to make more efficient use of the edge server's cache space. A second routine runs on the server's client side, i.e., the side that connects the edge server to requesting end user browsers. The second routine compresses content that has been cached in an uncompressed form so that such content can be delivered by the edge server (in such format) to the requesting end user browser. According to a technical advantage of the invention, preferably the routines are selectively controlled by customer-specific metadata supplied to the edge server. In a preferred embodiment, compression metadata is defined for given compressible file types. A first metadata tag controls the edge server to take uncompressed content from an origin server and to apply the first routine to compress the content, thereby allowing the edge server to make more efficient use of its cache space. When a request for such content is received at the edge server, it is typically served as-is, namely, in the same compressed form in which it was cached. A second metadata tag controls the edge server to simply cache content in its uncompressed form (if cacheable) and, using the second routine, to compress the content when a request for compressed content is received at the edge server. Preferably the first and second routines are gzip. Because the majority of browsers in use today support gzipped content, content associated with the first or second metadata tags is delivered to the end user in a compressed form to provide last mile accelerated delivery.
Preferably, compression metadata is applied to compressible file types, e.g., those with a MIME type such as HTML, cascading style sheets, and the like. The benefits of compression for such content are significant. Typically, page sizes are reduced to roughly !4-th of their original sizes, significantly reducing the transfer time to the end user.
The present invention provides an improved CDN edge server that fetches, compresses and caches content obtained from a content provider origin server, and/or compresses content on-the-fly as it is being delivered. These features preferably are enabled using simple metadata as applied to specified files, directories, host names or any other constraints.
The foregoing has outlined some of the more pertinent features of the present invention. These features should be construed to be merely illustrative. Many other beneficial results can be attained by applying the disclosed invention in a different manner or by modifying the invention as will be described.
BRIEF DESCRIPTION OF THE DRAWINGS
Figure 1 is a block diagram of a known content delivery network in which the present invention may be implemented;
Figure 2 illustrates a typical machine configuration for a CDN edge server; Figure 3 illustrates a CDN edge server that has been modified according to the present invention to include a first compression utility on its forward side, and a second compression utility on its client side, with these utilities being selectively controlled by customer-specific metadata;
Figure 4 is a chart illustrating expected TCP transfer times for various file sizes using normal delivery and compressed delivery assuming a 4:1 compression ratio; and
Figure 5 is a chart illustrating compression gains versus file size for broadband and dial-up users.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT By way of background, it is known in the prior art to deliver digital content
(e.g., HTTP content, streaming media and applications) using an Internet content delivery network (CDN). A CDN is a network of geographically-distributed content delivery nodes that are arranged for efficient delivery of content on behalf of third party content providers. Typically, a CDN is implemented as a combination of a content delivery infrastructure, a request-routing mechanism, and a distribution infrastructure. The content delivery infrastructure usually comprises a set of "surrogate" origin servers that are located at strategic locations (e.g., Internet network access points, Internet Points of Presence, and the like) for delivering content to requesting end users. The request-routing mechanism allocates servers in the content delivery infrastructure to requesting clients in a way that, for web content delivery, minimizes a given client's response time and, for streaming media delivery, provides for the highest quality. The distribution infrastructure consists of on-demand or push- based mechanisms that move content from the origin server to the surrogates. An effective CDN serves frequently-accessed content from a surrogate that is optimal for a given requesting client. In a typical CDN, a single service provider operates the request-routers, the surrogates, and the content distributors. In addition, that service provider establishes business relationships with content publishers and acts on behalf of their origin server sites to provide a distributed delivery system.
As seen in Figure 1, an Internet content delivery infrastructure usually comprises a set of "surrogate" origin servers 102 that are located at strategic locations (e.g., Internet network access points, and the like) for delivering copies of content to requesting end users 119. A surrogate origin server is defined, for example, in IETF Internet Draft titled "Requirements for Surrogates in the HTTP" dated August 9, 2000, which is incorporated herein by reference. The request-routing mechanism 104 allocates servers 102 in the content delivery infrastructure to requesting clients. The distribution infrastructure consists of on-demand or push-based mechanisms that move content from the origin server to the surrogates. A CDN service provider (CDNSP) may organize sets of surrogate origin servers as a group or so-called
"region." In this type of arrangement, a CDN region 106 typically comprises a set of one or more content servers that share a common back-end network, e.g., a LAN, and that are located at or near an Internet access point. Thus, for example, a typical CDN region may be co-located within an Internet Service Provider (ISP) Point of Presence (PoP) 108. A representative CDN content server is a Pentium-based caching appliance running an operating system (e.g., Linux, Windows NT, Windows 2000) and having suitable RAM and disk storage for CDN applications and content delivery network content (e.g., HTTP content, streaming media and applications). Such content servers are sometimes referred to as "edge" servers as they are located at or near the so-called outer reach or "edge" of the Internet. The CDN typically also includes network agents 109 that monitor the network as well as the server loads. These network agents are typically co-located at third party data centers or other locations. Mapmaker software 107 receives data generated from the network agents and periodically creates maps that dynamically associate IP addresses (e.g., the IP addresses of client-side local name servers) with the CDN regions.
Content may be identified for delivery from the CDN using a content migrator or rewrite tool 106 operated, for example, at a participating content provider server. Tool 106 rewrites embedded object URLs to point to the CDNSP domain. A request for such content is resolved through a CDNSP-managed DNS to identify a "best" region, and then to identify an edge server within the region that is not overloaded and that is likely to host the requested content. Instead of using content provider-side migration (e.g., using the tool 106), a participating content provider may simply direct the CDNSP to serve an entire domain (or subdomain) by a DNS directive (e.g., a CNAME). In either case, the CDNSP may provide object-specific metadata to the CDN content servers to determine how the CDN content servers will handle a request for an object being served by the CDN. Metadata, as used herein, refers to a set of control options and parameters for the object (e.g., coherence information, origin server identity information, load balancing information, customer code, other control codes, etc.), and such information may be provided to the CDN content servers via a configuration file, in HTTP headers, or in other ways. The Uniform Resource Locator (URL) of an object that is served from the CDN in this manner does not need to be modified by the content provider. When a request for the object is made, for example, by having an end user navigate to a site and select the URL, a customer's DNS system directs the name query (for whatever domain is in the URL) to the CDNSP DNS request routing mechanism. Once an edge server is identified, the browser passes the object request to the server, which applies the metadata supplied from a configuration file or HTTP response headers to determine how the object will be handled.
As also seen in Figure 1, the CDNSP may operate a metadata transmission system 116 comprising a set of one or more servers to enable metadata to be provided to the CDNSP content servers. The system 116 may comprise at least one control server 118, and one or more staging servers 120a-n, each of which is typically an HTTP server (e.g., Apache). Metadata is provided to the control server 118 by the CDNSP or the content provider (e.g., using a secure extranet application) and periodically delivered to the staging servers 120a-n. The staging servers deliver the metadata to the CDN content servers as necessary.
Figure 2 illustrates a typical machine configuration for a CDN content edge server. Typically, the content server 200 is a caching appliance running an operating system kernel 202, a file system cache 204, CDN software 206, TCP connection manager 208, and disk storage 210. CDN software 206 creates and manages a "hot" object cache 212 for popular objects being served by the CDN. It may also provide other CDN-related functions, such as request routing, in-region load balancing, and the like. In operation as an HTTP cache for example, the content server 200 receives end user requests for content, determines whether the requested object is present in the hot object cache or the disk storage, serves the requested object via HTTP (if it is present) or establishes a connection to another content server or an origin server to attempt to retrieve the requested object upon a cache miss. Typically, the edge server operates in a "pull" manner, wherein an object is pulled into the cache imtially upon the first request to the cache - which will generate a cache miss since the object is not present. The edge server includes a forward or "server" side, for handling communications between the edge server and the content provider origin servers, and a client side, for handling communications between the end user browsers and the edge server. An illustrative architecture of this type is shown in the paper titled "Intelligent Caching For World-Wide Web Objects," Wessels, Proceedings of the LNET '95 Conference 1995.
Figure 3 illustrates a CDN edge server 300 according to the present invention. This server has been modified to include a first compression utility 302 on its forward side 304, and a second compression utility 306 on its client side 308. Each compression utility is preferably gzip, which is an open source compression routine that provides high performance and that is compatible with most existing end user browsers. Edge server 300 also includes a metadata handling routine 310 for applying customer-specific metadata 312 to control application of the first and second compression routines 302 and 306. According to an illustrative embodiment, a first metadata tag, e.g., gzip-incg, is applied, selectively, to (uncompressed) content fetched by the edge server from an origin server, and a second metadata tag, e.g., gzip-gh-to-browser, is applied, selectively, to (uncompressed) content fetched by the edge server from its own in-memory cache 314 or disk cache 316. Generally, the first metadata tag is associated with content that, upon receipt from the origin server, is desired to be stored in a compressed form. Such content, typically, will be delivered to a requesting end user as-is, in the sense that the cached content is merely retrieved and sent to the end user in its already-compressed state. In contrast, the second metadata tag normally is associated with content that, upon receipt from the origin server, has not been stored in a compressed form but where it is desired to take advantage of last mile acceleration between the edge server and the requesting end user. Preferably, when the second tag is set, the content associated therewith is compressed as it being served in response to an end user request, i.e., "on-the-fly." In an illustrative embodiment, both the first and second metadata tags cause the edge server to take uncompressed content and serve it to browsers, either compressed or uncompressed, depending on whether they advertise support for compressed content.
Typically, the first metadata tag is used for objects that have cache time-to- live (TTL) greater than zero and that are not associated with edge side include (ESI) processing. ESI is a simple markup language to describe cacheable and noncacheable Web page components that can be aggregated, assembled and delivered at the network edge. Using ESI tags, developers can identify content fragments for dynamic assembly at the edge server. ESI also specifies a content invalidation protocol for transparent content management across ESI-compliant solutions, such as application servers and content delivery networks. The ability to assemble dynamic pages from individual page fragments means that only non-cacheable or expired fragments need to be fetched from the origin Web site, thereby lowering the need to retrieve complete pages and decreasing the load on the Web site's content generation infrastructure. Further details about ESI can be found at www.esi.org. By applying the gzip-incg tag to such content, the object is compressed, thereby allowing the edge server to make more efficient use of its cache space. Because the majority of browsers in use today support gzipped content, in most cases the gzipped file is served out to the client as is, without any need for unzipping it first. Preferably, the gzip-incg tag is not set for content nominated for or otherwise associated with ESI processing. In such case, it is typically more efficient just to cache the content unzipped, use it as required by ESI, and then compress the result before serving.
If the content received from the origin server has a given time-to-live (TTL) associated therewith that is small enough as compared to the processing overhead (in terms of CPU cycles) involved in making the compression and storing the compressed object, it may be desirable to avoid storing the object compressed as this will consume resources in the server. This is especially true for the case where the end user is connecting to the edge server over a broadband connection. Thus, according to a feature of the invention, it may be desirable to determine whether given content fetched from the origin server should be stored in the cache in an uncompressed or compressed form by evaluating a function trading off anticipated storage time in the cache versus processing overhead required to perform the compression. This determination may be done selectively, e.g., when the object is fetched upon a cache miss and the requesting end user connects to the edge server over a high speed connection. This determination of whether to compress the object may be done as follows, although any convenient technique may be used: when the object is returned from the origin server, the software receives a response header indicating the object's size and TTL (or other cache control data). Based on the size information, the software determines the amount of processing that will be required to compress and store the object in cache given the CPU processing speed, and by examining file properties, notably file size. A decision may then be made to override a metadata tag (that would otherwise dictate storage of the object in compressed form) if storing the object in compressed form is impractical or otherwise determined to be unnecessary. This operation can be used whether or not metadata tags are used to control the compression routine. In a preferred embodiment, the metadata handling routine is configured to override the gzip-incg metadata tag in such circumstances. Typically, the second metadata tag is used for objects that are nominated for or are associated with ESI processing or that have no-store response headers. As noted above, the gzip-gh-to-browser tag causes the edge server to cache content in its uncompressed form (if cacheable) and to compress (via gzip for example) the content every time a request for compressed content is received at the edge server. For cacheable content not being ESI-processed, it is preferably to use gzip-incg for the reasons set forth above, but for no-store content, gzip-gh-to-browser must be used to take advantage of compression.
Preferably, gzip metadata is applied only to compressible file types, i.e., those with a MLME type of text/html. Other types of content (e.g., images) are often already highly compressed and the benefit gained by gzip typically is not worth the processing cycles to do so. The gzip metadata can be applied to these files in any convenient manner, e.g., using a response-header match, or a match on file extensions known to be of text/html type, e.g., html, htm, asp, cfrn, jsp, jhtml, and the like. The application of compression must be based on information about the browser. HTTP 1.1 compliant browsers advertise support for gzipped content by including an "accept encoding: gzip" header in the requests they send. Therefore, if a browser does not advertise this support (either because it does not have it and/or does not wish to advertise it), the system must dynamically detect this (e.g., by looking at the HTTP headers) and serve an uncompressed copy of the content. Similarly, there are some browsers that do not handle gzipped content correctly even though they advertise support for with this header. If the CDN customer desires to exclude certain user-agents from being gzipped to the client, it maybe desirable to nest the appropriate gzip metadata tag within a response header match and/or to have a dynamically updated set of rules regarding the support provided by various browsers. These rules may be expressed in metadata or by some other means, such as a browser lookup table, and these rules maybe consulted when making decisions regarding storage and/or serving. In addition, although not required, compressed and uncompressed objects may be cached separately in the edge server cache if it is desired to apply last mile acceleration based on user-agent. This can be accomplished by generating a different cache key (which is used to control storage) for the different types of content. In an illustrative example, it is assumed that the origin server is part of the cache key. A compressed object can be stored separately by generating a cache key using an origin-server tag to override a default origin server. The value used can be a bogus host header, in which case the edge server can use a forward DNS name with a value of the real origin server set to ensure that the edge server can get the object on a cache miss.
The present invention provides many advantages. With last mile compression between the edge server and the end user, the content provider does not have compress the content before making it available to the CDN. The CDN edge servers fetch original content from the content provider's origin site the same way as in the prior art, compress the content, cache the compressed version, and serve the compressed objects, and these actions are taken in accordance with the metadata for a particular customer. Preferably, the compression metadata is enabled for compressible content such as HTMLs, javascript (.js), and stylesheets (.ess), and it is disabled for images, sound and video clips, and the like, where compression does not provide performance enhancements. Compression, using the gzip algorithm for example, can reduce the size of an HTML page by a factor of anywhere from 3 to 6. A reduction by a factor of 4 means that the base page download time can be reduced by up to 75% or more depending on the size of the object and the various TCP parameters employed. Compression may additionally be applied to javascript and style sheets components of a page. Actual reduction in download time maybe slightly less than 75% due to TCP's slow start algorithm. Decompression, which is a much faster process then compression, should not take a significant amount of time. Figure 4 below shows expected TCP transfer times for various file sizes using normal delivery and compressed delivery assuming a 4:1 compression ratio. TCP transfer time includes connection set-up and request, but does not include request processing time. For broadband (BB) users, the figure shows time reductions over 1 second for lOOkB files. For dial-up users, the time reduction for lOOkB files is over 12 seconds. Clearly, any additional compression and decompression processing times of a few milliseconds is a small price to pay for a 12 second reduction in page download time. For very small files, less than 3 or 4 kB, the savings in download times are not as significant and may not warrant compressed delivery. The bulk of the transfer time for small files is due to connection set-up and TCP slow start.
The following describes when a content provider may consider using compressed delivery and when it may not want to do so. Once it is determined when and for what content compression will be used, the content provider and/or the CDNSP provisions the edge servers using metadata.
Content with long TTLs can be cached compressed. Typically, CDN edge server turnaround latency with compression is about equal to the latency for normal delivery while drastically reducing the object download time. The larger the object, the greater the impact the object has on total page time. Because of fixed connection set-up and request times, TCP packetization and TCP slow start, gains from compressed delivery are seen if the page sizes (uncompressed) are at least 3 kB for dial-up users and 5 kB for broadband users as shown in Figure 5. Additionally, larger HTML objects make up a larger portion of the total page time when including embedded objects (images, graphics, and the like). The greater the portion of the total page time that compression can affect, the greater the gain. Compression only impacts the object download time but not the first byte time. The lower the user bandwidth, the longer the object download time is while the first byte time stays relatively unchanged. Situations where the page download time is significantly larger than the first byte time will yield the most improvements with compressed delivery. When pages are assembled using ESI, delivery of the first byte has to wait until all the ESI components are fetched from origin, regardless of whether compression is enabled or not. As there is now no first byte "penalty" for enabling compression, compression will largely only help to reduce total page time.
In the following situations, compression can still be enabled, but the gains may not be as great as they might be otherwise. Objects that are no-store always have to be fetched from the origin site. This has two impacts. First, the object must be compressed by the CDNSP every time, rather than cached compressed. Second, the object cannot be delivered until it has been received in its entirety from the origin site. The latter point is significant because chunked transfer encoding normally enables the CDN edge server to begin delivery after a small amount of data is received from origin. Without the ability to do chunked delivery, the first byte time will be longer with compression enabled. If the page has some of the other features conducive to compressed delivery (large HTML, mainly dial-up users, fast origin fetch), however, compression may still be advantageous. While, in most cases, compressed delivery of small files will still be faster than normal delivery, compressed delivery will not appear to be much faster unless the object is at least 4kB. While, in most cases, compressed delivery to high BW users will still be faster than normal delivery, if the page is no-store (and non-ESI), a lower first byte time with normal delivery and chunking may make the overall page time nearly as fast or faster than with compressed delivery.
The following metadata example demonstrates the application of last mile acceleration according to the present invention to requests for the following file types: html, htm, and asp from Microsoft Internet Explorer 5 and 6 browsers on a Microsoft Windows platform. In this example, which is merely illustrative, the metadata is in the form of last mile acceleration (LMA) tags: gzip-incg and gzip-gh-to-browser. This metadata is supplied to the edge server via the metadata transport mechanism described above, or by any other convenient method or means. In this example, gzip is applied only to compressible content, including implicit index pages of directories and excluding javascript files. The gzip-incg routine is used on cached content, and the gzip-gh-to-browser is used on no-stored content. The gzip-incg and enable- accept-chunking are not applied to the same content. In addition, gzip is applied only to requests from MSIE 5 on a Windows platform: <?xml version^" 1.0"?> <configs>
<a-config version="x.x"> <originMap tree="l">
<originServer value="www.origin.foo.com"> <hostHeader>www.foo.com< hostHeader>
</originServer> </originMap> <tree name="l"> <"cpcode">xy</md> <md name="max-age">2h</md>
<match type- 'default-file" recursive="on"> <match type- 'request-header" operation- 'name-value-srcase" argumentl ="user-agent" argument2="Windows">
<match type="request-header" operation="name-value-srcase" argumentl="user-agent" argument2="MSIE 5">
<md name="forward-dns-name">www.origin.customer.com</md> <md name="origin-server">gzip.origin.customer.com</md>
<md name="gzip-incg">on</md> </match>
<match type="request-header" operation="name-value-srcase" argumentl="user-agent" argument2- 'MSIE 6"> <md name="forward-dns-name">www.origin.customer.com</md>
<md name="origin-server">gzip.origin.customer.com</md> <md name="gzip-incg">on</md> </match> </match> </match>
<match type="ext" vafue- 'html htm asp"> <match type- 'request-header" operation- 'name-value-srcase" argumentl ="user-agent" argument2="Windows">
<match type- 'request-header" operation="name-value-srcase" argumentl- 'user-agent" argument2="MSIE 5">
<md name="origin-server">gzip.origin.foo.com</md> <md name="forward-dns-name">www.origin.foo.com</md> <md name="gzip-incg">on</md> </match> <match type="request-header" operation="name-value-srcase" argumentl ="user-agent" argument2- 'MSIE 6">
<md name="origin-server">gzip.origin.foo.com</md> <md name="fόrward-dns-name">www.origin.foo.com</md> <md name="gzip-incg">on</md> </match>
</match> </match>
<match type=:"filename" value="LogIn.asp"> <md name="no-store">on</md> <match type="request-header" operation="name-value-srcase" argumentl ="user-agent" argument2="Windows">
<match type="request-header" operation="name-value-srcase" argumentl ="user-agent" argument2="MSIE 5">
<md name="gzip-gh-to-browser">on</md> </match>
<match type^'Vequest-header" operation="name-value-srcase" argumentl="user-agent" argument2=="MSIE 6">
<md name="gzip-gh-to-browser">on</md> </match> </match>
</match> </tree> </a-config> </configs> While the present invention has been described using the gzip compression utility, this is not a limitation. Any convenient compression utility can be used, provided that the end user browser includes a compatible decompression routine. Moreover, while the gzip-incg and gzip-gh-to-browser routines have been described as separate, this is not a limitation. The routines can be integrated into a single routine that is selectively called from either the client or forward side of the server as needed.
Although not required, preferably the CDN customer is billed for the last mile acceleration service based on the size of the uncompressed content. Thus, if the CDNSP obtains the content in an uncompressed form from the origin, a managed storage system, or the like) and compresses this content before servicing it to a requesting end user, the CDN edge server logs (and the customer is billed for) the size of the object as if it had been served without compression. Variants
While the use of metadata tags to control the compression routine is a preferred embodiment, variations of this approach may be implemented. If there are no metadata tags, by default all content that meets a certain file type (e.g., html, htm, or the like) could be run through the compression engine. More generally, the software may be configured to automatically determine what content should be compressed by looking at file types and/or by some preprocessing to determine the compressability of the content. An example of this would be a case in which the system automatically determines that HTML pages should be compressed by either preprocessing the document and/or using a lookup table of file type extensions but not compress a given JPEG file based on the same steps. In like fashion, selective EXE files may be compressed, as another example. If desired, the software may be configured to automatically modify the operative steps (e.g., by not compressing certain files and/or file types) based on inherent information (e.g., as defined by a lookup table) that is correlated with browser information. An example of this would be a case where the system selectively does not compress certain file types for specific browsers because it knows that those browsers have bugs handling those file types. A given compression routine may be selectively run based on a determination of the bandwidth of the end user's connection and then modifying one of the steps accordingly. Thus, for example, if the connection is high speed, it may be undesirable to compress no-store content due to the processing overhead involved in making compression. Likewise, the system may decide to uncompress an object stored compressed in cache before serving.
The decision to store an object in compressed form, or to serve an object in compressed form, as the case may be, can vary on a user request-by-user request basis. The techniques of the present invention may be implemented in other than a content delivery network. An alternative implementation, for example, is to place the above-described functionality in a server located at or adjacent a content provider's site. The server provides caching as does a conventional Web site forward proxy. The CDN service provider or some other entity then runs the machine as a compression service on the content provider's behalf. More generally, the present invention thus includes the provision of a managed compression service wherein the service provider (such as the CDNSP) provides the mechanism (e.g., a standalone box, software, and the like) to a provisioned Web site to enable content to be stored at and/or delivered from the proxy in a compressed format. An alternative implementation is to create a single machine CDN, e.g., by locating the server at a given datacenter at which a Web site of a content provider is hosted. Domains that will be managed by the server are CNAMEd to a CDN-specific domain so that end users get mapped to the server. The compression functionality is then implemented as has been described above. One of ordinary skill in the art will also recognize that the present invention may also be used to facilitate delivery of compressed content between servers across a CDN. As is known, large CDNs typically include intermediate tiers between a given origin server and the edge servers. In such case, it may be desirable to implement the compression functionality in the intermediate tier or elsewhere, in which case the "client" is just one of the edge servers (as opposed to the end user's machine). More generally, the client is any other server in the CDN where the intent is to speed the transfer time of the content across the CDN for better performance or reliability for content that is not located in an edge cache. Having described our invention, what we claim is as follows.

Claims

1. A server operative in a content delivery network, comprising: a compression utility; code responsive to a first metadata tag for applying the compression utility to given first content prior to caching; and code responsive to a second metadata tag for applying the compression utility to given second content prior to serving.
2. The server as described in Claim 1 wherein the compression utility is gzip.
3. In a content delivery network (CDN) edge server having a processor, a cache, an HTTP server-side request handling routine and an HTTP client-side request handling routine, the improvement comprising: a first compression routine associated with the server-side request handling routine; a second compression routine associated with the client-side request handling routine; and a metadata routine (a) responsive to a first metadata tag associated with a given first piece of content for applying the first compression routine to the given first piece of content, and (b) responsive to a second metadata tag associated with a given second piece of content for applying the second compression routine to the given second piece of content.
4. In the CDN edge server as described in Claim 3 wherein the given first piece of content is stored in the cache following compression by the first compression routine.
5. In the CDN edge server as described in Claim 4 wherein the HTTP client side request handling routine retrieves the given first piece of content from the cache and serves said content in compressed form in response to an HTTP request for the given first piece of content.
6. In the CDN edge server as described in Claim 5 wherein the client side HTTP request handling routine retrieves the given second piece of content from the cache and serves said content in response to an HTTP request for the given second piece of content following application of the second compression routine.
7. A content delivery method operative at an edge server to which an end user has been directed by a CDN request routing mechanism, the edge server having a cache, comprising: upon receipt of a request for given content from the end user that cannot be serviced at the edge server, fetching the given content from an origin server; determining whether the given content should be stored in the cache in an uncompressed or compressed form by evaluating a function trading off anticipated storage time in the cache versus processing overhead required to perform the compression; and selectively storing the given content either uncompressed or compressed based on the determination.
8. The content delivery method as described in Claim 7 wherein the determining step is performed upon a given condition.
9. The content delivery method as described in Claim 8 wherein the given condition is a determination based on evaluating properties of a connection between the edge server and a client machine.
10. A content delivery method operative at an edge server to which an end user has been directed by a CDN request routing mechanism, the edge server having a cache, comprising: upon receipt of a request for given content from the end, fetching an uncompressed form of the given content from the cache; and selectively compressing the given content as the given content is being delivered to the end user in response to the request as a function of given metadata.
11. The content delivery method as described in Claim 10 wherein the given content is stored in uncompressed form in the cache as a function of given metadata.
12. The content delivery method as described in Claim 10 wherein a given content provider is billed for delivery of the given content delivered to the end user as a function of a size of the given content in the uncompressed form irrespective of a number of bytes delivered to the end user.
13. A content delivery method operative at an edge server to which an end user has been directed by a CDN request routing mechanism, the edge server having a cache, comprising: upon receipt of a request for given content from the end user that cannot be serviced at the edge server, fetching the given content from an origin server; determining whether the given content should be served from the cache in an uncompressed or compressed form by evaluating a function trading off anticipated storage time in the cache versus processing overhead required to perform the compression; and selectively serving the given content either uncompressed or compressed based on the determination.
14. A content delivery method operative at an edge server to which end users are directed by a CDN request routing mechanism, the edge server having a cache, comprising: with respect to a first request for given content, making a first determination as to whether the given content should be stored in the cache in an uncompressed or compressed form, or whether the given content should be served from the cache in an uncompressed or compressed form; and with respect to a second request for the given content, making a determination, independent of the first determination, as to whether the given content should be stored in the cache in an uncompressed or compressed form, or whether the given content should be served from the cache in an uncompressed or compressed form.
15. A managed service provided on behalf of an origin server at which a content provider publishes given content, comprising: a server, managed by an entity other than the content provider, for providing the given content to a requesting client, the server comprising: a cache; a compression routine; and a mechanism for selectively storing or serving the given content in compressed form.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1669878A1 (en) * 2003-09-30 2006-06-14 Sony Corporation Information reproduction device and method, and program
EP1706207A2 (en) * 2003-12-29 2006-10-04 Venturi Wireless, Incorporated Reusable compressed objects
WO2007000493A1 (en) * 2005-06-29 2007-01-04 Ascia Oy Data compression arrangement
EP2454854A2 (en) * 2009-07-17 2012-05-23 Aryaka Networks, Inc. Application acceleration as a service system and method
WO2013049238A3 (en) * 2011-09-27 2013-07-11 Oracle International Corporation System and method for providing flexibility in load balancing and data compression in a traffic director environment
WO2016153707A1 (en) * 2015-03-25 2016-09-29 Qualcomm Incorporated Conveying data between devices in wireless personal area network

Families Citing this family (307)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6438585B2 (en) * 1998-05-29 2002-08-20 Research In Motion Limited System and method for redirecting message attachments between a host system and a mobile data communication device
CN1430758A (en) * 2000-05-22 2003-07-16 阿德特姆软件公司 Revenue forecasting and managing sellers using statistical analysis
US7130822B1 (en) * 2000-07-31 2006-10-31 Cognos Incorporated Budget planning
US7761497B1 (en) * 2001-07-13 2010-07-20 Vignette Software, LLC Storage medium having a manageable file directory structure
US7395355B2 (en) 2002-07-11 2008-07-01 Akamai Technologies, Inc. Method for caching and delivery of compressed content in a content delivery network
US7257612B2 (en) * 2002-09-30 2007-08-14 Cognos Incorporated Inline compression of a network communication within an enterprise planning environment
CN1685351A (en) * 2002-09-30 2005-10-19 厄得塔姆公司 Node-level modification during execution of an enterprise planning model
US7526565B2 (en) * 2003-04-03 2009-04-28 International Business Machines Corporation Multiple description hinting and switching for adaptive media services
US7373416B2 (en) * 2003-04-24 2008-05-13 Akamai Technologies, Inc. Method and system for constraining server usage in a distributed network
US8230094B1 (en) * 2003-04-29 2012-07-24 Aol Inc. Media file format, system, and method
US7594018B2 (en) * 2003-10-10 2009-09-22 Citrix Systems, Inc. Methods and apparatus for providing access to persistent application sessions
US7978716B2 (en) * 2003-11-24 2011-07-12 Citrix Systems, Inc. Systems and methods for providing a VPN solution
US7299300B2 (en) * 2004-02-10 2007-11-20 Oracle International Corporation System and method for dynamically selecting a level of compression for data to be transmitted
BRPI0418629A (en) * 2004-03-12 2007-05-29 Thomson Licensing caching server network and content file distribution programming method
US7757074B2 (en) 2004-06-30 2010-07-13 Citrix Application Networking, Llc System and method for establishing a virtual private network
US8739274B2 (en) 2004-06-30 2014-05-27 Citrix Systems, Inc. Method and device for performing integrated caching in a data communication network
US8495305B2 (en) 2004-06-30 2013-07-23 Citrix Systems, Inc. Method and device for performing caching of dynamically generated objects in a data communication network
US7603131B2 (en) 2005-08-12 2009-10-13 Sellerbid, Inc. System and method for providing locally applicable internet content with secure action requests and item condition alerts
EP1771998B1 (en) * 2004-07-23 2015-04-15 Citrix Systems, Inc. Systems and methods for optimizing communications between network nodes
EP2267951B1 (en) * 2004-07-23 2016-12-28 Citrix Systems, Inc. Method for routing packets from an endpoint to a gateway
US7840707B2 (en) * 2004-08-18 2010-11-23 International Business Machines Corporation Reverse proxy portlet with rule-based, instance level configuration
US7748032B2 (en) * 2004-09-30 2010-06-29 Citrix Systems, Inc. Method and apparatus for associating tickets in a ticket hierarchy
US7711835B2 (en) 2004-09-30 2010-05-04 Citrix Systems, Inc. Method and apparatus for reducing disclosure of proprietary data in a networked environment
US8613048B2 (en) 2004-09-30 2013-12-17 Citrix Systems, Inc. Method and apparatus for providing authorized remote access to application sessions
US8024483B1 (en) * 2004-10-01 2011-09-20 F5 Networks, Inc. Selective compression for network connections
US7835380B1 (en) 2004-10-19 2010-11-16 Broadcom Corporation Multi-port network interface device with shared processing resources
US7620057B1 (en) 2004-10-19 2009-11-17 Broadcom Corporation Cache line replacement with zero latency
US7688838B1 (en) 2004-10-19 2010-03-30 Broadcom Corporation Efficient handling of work requests in a network interface device
US7826470B1 (en) 2004-10-19 2010-11-02 Broadcom Corp. Network interface device with flow-oriented bus interface
US8478907B1 (en) 2004-10-19 2013-07-02 Broadcom Corporation Network interface device serving multiple host operating systems
US7634572B2 (en) 2004-12-22 2009-12-15 Slipstream Data Inc. Browser-plugin based method for advanced HTTPS data processing
US7810089B2 (en) * 2004-12-30 2010-10-05 Citrix Systems, Inc. Systems and methods for automatic installation and execution of a client-side acceleration program
US8706877B2 (en) 2004-12-30 2014-04-22 Citrix Systems, Inc. Systems and methods for providing client-side dynamic redirection to bypass an intermediary
US8954595B2 (en) * 2004-12-30 2015-02-10 Citrix Systems, Inc. Systems and methods for providing client-side accelerated access to remote applications via TCP buffering
US8549149B2 (en) * 2004-12-30 2013-10-01 Citrix Systems, Inc. Systems and methods for providing client-side accelerated access to remote applications via TCP multiplexing
US8700695B2 (en) * 2004-12-30 2014-04-15 Citrix Systems, Inc. Systems and methods for providing client-side accelerated access to remote applications via TCP pooling
US20060253605A1 (en) * 2004-12-30 2006-11-09 Prabakar Sundarrajan Systems and methods for providing integrated client-side acceleration techniques to access remote applications
US7849269B2 (en) 2005-01-24 2010-12-07 Citrix Systems, Inc. System and method for performing entity tag and cache control of a dynamically generated object not identified as cacheable in a network
US8255456B2 (en) 2005-12-30 2012-08-28 Citrix Systems, Inc. System and method for performing flash caching of dynamically generated objects in a data communication network
US8024568B2 (en) 2005-01-28 2011-09-20 Citrix Systems, Inc. Method and system for verification of an endpoint security scan
US20060206513A1 (en) * 2005-03-08 2006-09-14 International Business Machines Corporation Method for speed-efficient and memory-efficient construction of a trie
US9407608B2 (en) 2005-05-26 2016-08-02 Citrix Systems, Inc. Systems and methods for enhanced client side policy
US9621666B2 (en) 2005-05-26 2017-04-11 Citrix Systems, Inc. Systems and methods for enhanced delta compression
US9692725B2 (en) 2005-05-26 2017-06-27 Citrix Systems, Inc. Systems and methods for using an HTTP-aware client agent
US8943304B2 (en) 2006-08-03 2015-01-27 Citrix Systems, Inc. Systems and methods for using an HTTP-aware client agent
US7756826B2 (en) 2006-06-30 2010-07-13 Citrix Systems, Inc. Method and systems for efficient delivery of previously stored content
US7979509B1 (en) 2005-09-15 2011-07-12 Juniper Networks, Inc. Clustered network acceleration devices having shared cache
US7644108B1 (en) 2005-09-15 2010-01-05 Juniper Networks, Inc. Network acceleration device cache supporting multiple historical versions of content
US7676554B1 (en) 2005-09-15 2010-03-09 Juniper Networks, Inc. Network acceleration device having persistent in-memory cache
US7921184B2 (en) * 2005-12-30 2011-04-05 Citrix Systems, Inc. System and method for performing flash crowd caching of dynamically generated objects in a data communication network
US8301839B2 (en) * 2005-12-30 2012-10-30 Citrix Systems, Inc. System and method for performing granular invalidation of cached dynamically generated objects in a data communication network
US7873065B1 (en) 2006-02-01 2011-01-18 F5 Networks, Inc. Selectively enabling network packet concatenation based on metrics
CN100591016C (en) * 2006-03-17 2010-02-17 华为技术有限公司 Dynamic content continuous transmission method and system
US8151323B2 (en) * 2006-04-12 2012-04-03 Citrix Systems, Inc. Systems and methods for providing levels of access and action control via an SSL VPN appliance
US20070260748A1 (en) * 2006-05-05 2007-11-08 Talkington Jerry L Method and apparatus to reduce the size of objects transmitted over a network
US20080066067A1 (en) * 2006-09-07 2008-03-13 Cognos Incorporated Enterprise performance management software system having action-based data capture
US9465823B2 (en) * 2006-10-19 2016-10-11 Oracle International Corporation System and method for data de-duplication
US7920700B2 (en) * 2006-10-19 2011-04-05 Oracle International Corporation System and method for data encryption
US8635194B2 (en) * 2006-10-19 2014-01-21 Oracle International Corporation System and method for data compression
US8533846B2 (en) 2006-11-08 2013-09-10 Citrix Systems, Inc. Method and system for dynamically associating access rights with a resource
US20080170574A1 (en) * 2007-01-12 2008-07-17 Infineon Technologies Ag Methods and apparatuses for data compression
US8103783B2 (en) 2007-03-12 2012-01-24 Citrix Systems, Inc. Systems and methods of providing security and reliability to proxy caches
US8701010B2 (en) * 2007-03-12 2014-04-15 Citrix Systems, Inc. Systems and methods of using the refresh button to determine freshness policy
US7783757B2 (en) * 2007-03-12 2010-08-24 Citrix Systems, Inc. Systems and methods of revalidating cached objects in parallel with request for object
US7584294B2 (en) * 2007-03-12 2009-09-01 Citrix Systems, Inc. Systems and methods for prefetching objects for caching using QOS
US8074028B2 (en) 2007-03-12 2011-12-06 Citrix Systems, Inc. Systems and methods of providing a multi-tier cache
US7720936B2 (en) * 2007-03-12 2010-05-18 Citrix Systems, Inc. Systems and methods of freshening and prefreshening a DNS cache
US7809818B2 (en) * 2007-03-12 2010-10-05 Citrix Systems, Inc. Systems and method of using HTTP head command for prefetching
US8037126B2 (en) * 2007-03-12 2011-10-11 Citrix Systems, Inc. Systems and methods of dynamically checking freshness of cached objects based on link status
US8504775B2 (en) 2007-03-12 2013-08-06 Citrix Systems, Inc Systems and methods of prefreshening cached objects based on user's current web page
US7925795B2 (en) * 2007-04-30 2011-04-12 Broadcom Corporation Method and system for configuring a plurality of network interfaces that share a physical interface
US8028090B2 (en) 2008-11-17 2011-09-27 Amazon Technologies, Inc. Request routing utilizing client location information
US7991910B2 (en) 2008-11-17 2011-08-02 Amazon Technologies, Inc. Updating routing information based on client location
US8914774B1 (en) 2007-11-15 2014-12-16 Appcelerator, Inc. System and method for tagging code to determine where the code runs
US8954989B1 (en) 2007-11-19 2015-02-10 Appcelerator, Inc. Flexible, event-driven JavaScript server architecture
US8260845B1 (en) 2007-11-21 2012-09-04 Appcelerator, Inc. System and method for auto-generating JavaScript proxies and meta-proxies
US8719451B1 (en) 2007-11-23 2014-05-06 Appcelerator, Inc. System and method for on-the-fly, post-processing document object model manipulation
US8566807B1 (en) 2007-11-23 2013-10-22 Appcelerator, Inc. System and method for accessibility of document object model and JavaScript by other platforms
US8756579B1 (en) 2007-12-03 2014-06-17 Appcelerator, Inc. Client-side and server-side unified validation
US8819539B1 (en) 2007-12-03 2014-08-26 Appcelerator, Inc. On-the-fly rewriting of uniform resource locators in a web-page
US8806431B1 (en) 2007-12-03 2014-08-12 Appecelerator, Inc. Aspect oriented programming
US8938491B1 (en) 2007-12-04 2015-01-20 Appcelerator, Inc. System and method for secure binding of client calls and server functions
US8527860B1 (en) 2007-12-04 2013-09-03 Appcelerator, Inc. System and method for exposing the dynamic web server-side
US8285813B1 (en) 2007-12-05 2012-10-09 Appcelerator, Inc. System and method for emulating different user agents on a server
US8639743B1 (en) 2007-12-05 2014-01-28 Appcelerator, Inc. System and method for on-the-fly rewriting of JavaScript
US8335982B1 (en) 2007-12-05 2012-12-18 Appcelerator, Inc. System and method for binding a document object model through JavaScript callbacks
US20090164471A1 (en) * 2007-12-19 2009-06-25 Jinmei Shen Managing Distributed Data
US8543667B2 (en) 2008-01-14 2013-09-24 Akamai Technologies, Inc. Policy-based content insertion
US8601090B1 (en) 2008-03-31 2013-12-03 Amazon Technologies, Inc. Network resource identification
US8533293B1 (en) 2008-03-31 2013-09-10 Amazon Technologies, Inc. Client side cache management
US8447831B1 (en) 2008-03-31 2013-05-21 Amazon Technologies, Inc. Incentive driven content delivery
US8156243B2 (en) * 2008-03-31 2012-04-10 Amazon Technologies, Inc. Request routing
US7962597B2 (en) 2008-03-31 2011-06-14 Amazon Technologies, Inc. Request routing based on class
US8321568B2 (en) * 2008-03-31 2012-11-27 Amazon Technologies, Inc. Content management
US7970820B1 (en) 2008-03-31 2011-06-28 Amazon Technologies, Inc. Locality based content distribution
US8606996B2 (en) * 2008-03-31 2013-12-10 Amazon Technologies, Inc. Cache optimization
US8291079B1 (en) 2008-06-04 2012-10-16 Appcelerator, Inc. System and method for developing, deploying, managing and monitoring a web application in a single environment
US8880678B1 (en) 2008-06-05 2014-11-04 Appcelerator, Inc. System and method for managing and monitoring a web application using multiple cloud providers
US9407681B1 (en) 2010-09-28 2016-08-02 Amazon Technologies, Inc. Latency measurement in resource requests
US7925782B2 (en) * 2008-06-30 2011-04-12 Amazon Technologies, Inc. Request routing using network computing components
US9912740B2 (en) 2008-06-30 2018-03-06 Amazon Technologies, Inc. Latency measurement in resource requests
US7596620B1 (en) 2008-11-04 2009-09-29 Aptana, Inc. System and method for developing, deploying, managing and monitoring a web application in a single environment
US7865594B1 (en) 2008-09-29 2011-01-04 Amazon Technologies, Inc. Managing resources consolidation configurations
US8316124B1 (en) 2008-09-29 2012-11-20 Amazon Technologies, Inc. Managing network data display
US8286176B1 (en) 2008-09-29 2012-10-09 Amazon Technologies, Inc. Optimizing resource configurations
US7930393B1 (en) 2008-09-29 2011-04-19 Amazon Technologies, Inc. Monitoring domain allocation performance
US8122124B1 (en) 2008-09-29 2012-02-21 Amazon Technologies, Inc. Monitoring performance and operation of data exchanges
US8117306B1 (en) 2008-09-29 2012-02-14 Amazon Technologies, Inc. Optimizing content management
WO2010042580A1 (en) * 2008-10-08 2010-04-15 Citrix Systems, Inc. Systems and methods for allocating bandwidth by an intermediary for flow control
US7984151B1 (en) 2008-10-09 2011-07-19 Google Inc. Determining placement of user data to optimize resource utilization for distributed systems
US20100094958A1 (en) * 2008-10-15 2010-04-15 Patentvc Ltd. Systems and methods for aggregating erasure-coded fragments
US8874774B2 (en) * 2008-10-15 2014-10-28 Aster Risk Management Llc Fault tolerance in a distributed streaming system
WO2010049876A2 (en) * 2008-10-28 2010-05-06 Cotendo Ltd System and method for sharing transparent proxy between isp and cdn
US8521880B1 (en) 2008-11-17 2013-08-27 Amazon Technologies, Inc. Managing content delivery network service providers
US8073940B1 (en) 2008-11-17 2011-12-06 Amazon Technologies, Inc. Managing content delivery network service providers
US8060616B1 (en) 2008-11-17 2011-11-15 Amazon Technologies, Inc. Managing CDN registration by a storage provider
US8065417B1 (en) 2008-11-17 2011-11-22 Amazon Technologies, Inc. Service provider registration by a content broker
US8732309B1 (en) 2008-11-17 2014-05-20 Amazon Technologies, Inc. Request routing utilizing cost information
US8122098B1 (en) 2008-11-17 2012-02-21 Amazon Technologies, Inc. Managing content delivery network service providers by a content broker
US7917618B1 (en) 2009-03-24 2011-03-29 Amazon Technologies, Inc. Monitoring web site content
US8688837B1 (en) 2009-03-27 2014-04-01 Amazon Technologies, Inc. Dynamically translating resource identifiers for request routing using popularity information
US8756341B1 (en) 2009-03-27 2014-06-17 Amazon Technologies, Inc. Request routing utilizing popularity information
US8412823B1 (en) 2009-03-27 2013-04-02 Amazon Technologies, Inc. Managing tracking information entries in resource cache components
US8521851B1 (en) 2009-03-27 2013-08-27 Amazon Technologies, Inc. DNS query processing using resource identifiers specifying an application broker
US8554745B2 (en) * 2009-04-27 2013-10-08 Netapp, Inc. Nearstore compression of data in a storage system
US8782236B1 (en) 2009-06-16 2014-07-15 Amazon Technologies, Inc. Managing resources using resource expiration data
US8266310B2 (en) 2009-07-17 2012-09-11 Microsoft Corporation Enabling peer-to-peer content retrieval in HTTP
US8397073B1 (en) * 2009-09-04 2013-03-12 Amazon Technologies, Inc. Managing secure content in a content delivery network
US8433771B1 (en) 2009-10-02 2013-04-30 Amazon Technologies, Inc. Distribution network with forward resource propagation
US8584217B2 (en) * 2009-10-16 2013-11-12 International Business Machines Corporation Service segregation according to subscriber service association
JP5775523B2 (en) * 2009-11-18 2015-09-09 アイセレロ エルエルシー Cloud computing service method and system for client devices having memory cards
AU2010328326B2 (en) * 2009-12-07 2016-12-01 Robert Buffone System and method for website performance optimization and internet traffic processing
US8331370B2 (en) 2009-12-17 2012-12-11 Amazon Technologies, Inc. Distributed routing architecture
US8331371B2 (en) 2009-12-17 2012-12-11 Amazon Technologies, Inc. Distributed routing architecture
US9495338B1 (en) 2010-01-28 2016-11-15 Amazon Technologies, Inc. Content distribution network
US9634993B2 (en) 2010-04-01 2017-04-25 Cloudflare, Inc. Internet-based proxy service to modify internet responses
US9049247B2 (en) 2010-04-01 2015-06-02 Cloudfare, Inc. Internet-based proxy service for responding to server offline errors
US8463846B2 (en) * 2010-05-06 2013-06-11 Cdnetworks Co., Ltd. File bundling for cache servers of content delivery networks
AU2011268104B2 (en) 2010-06-18 2016-12-15 Akamai Technologies, Inc. Extending a content delivery network (CDN) into a mobile or wireline network
US8570962B2 (en) * 2010-06-22 2013-10-29 Blackberry Limited Information selection in a wireless communication system
US9385938B2 (en) 2010-06-22 2016-07-05 Blackberry Limited Information distribution in a wireless communication system
US8756272B1 (en) 2010-08-26 2014-06-17 Amazon Technologies, Inc. Processing encoded content
US8819283B2 (en) 2010-09-28 2014-08-26 Amazon Technologies, Inc. Request routing in a networked environment
US8924528B1 (en) 2010-09-28 2014-12-30 Amazon Technologies, Inc. Latency measurement in resource requests
US8577992B1 (en) 2010-09-28 2013-11-05 Amazon Technologies, Inc. Request routing management based on network components
US8468247B1 (en) 2010-09-28 2013-06-18 Amazon Technologies, Inc. Point of presence management in request routing
US8938526B1 (en) 2010-09-28 2015-01-20 Amazon Technologies, Inc. Request routing management based on network components
US9712484B1 (en) 2010-09-28 2017-07-18 Amazon Technologies, Inc. Managing request routing information utilizing client identifiers
US10097398B1 (en) 2010-09-28 2018-10-09 Amazon Technologies, Inc. Point of presence management in request routing
US8930513B1 (en) 2010-09-28 2015-01-06 Amazon Technologies, Inc. Latency measurement in resource requests
US10958501B1 (en) 2010-09-28 2021-03-23 Amazon Technologies, Inc. Request routing information based on client IP groupings
US9003035B1 (en) 2010-09-28 2015-04-07 Amazon Technologies, Inc. Point of presence management in request routing
US8452874B2 (en) 2010-11-22 2013-05-28 Amazon Technologies, Inc. Request routing processing
US8626950B1 (en) 2010-12-03 2014-01-07 Amazon Technologies, Inc. Request routing processing
US9391949B1 (en) 2010-12-03 2016-07-12 Amazon Technologies, Inc. Request routing processing
US8681758B2 (en) 2010-12-14 2014-03-25 Symbol Technologies, Inc. Video caching in a wireless communication network
WO2012092586A2 (en) 2010-12-30 2012-07-05 Peerapp Ltd. Methods and systems for transmission of data over computer networks
CN103597471B (en) * 2010-12-30 2017-05-17 皮尔爱普有限公司 Methods and systems for caching data communications over computer networks
CN103348654A (en) * 2011-01-25 2013-10-09 交互数字专利控股公司 Method and apparatus for automatically discovering and retrieving content based on content identity
US9432502B2 (en) 2011-01-31 2016-08-30 Facebook, Inc. Caller identification using social network information
US20120195362A1 (en) * 2011-02-02 2012-08-02 Alcatel-Lucent Usa Inc. System and Method for Managing Cache Storage in Adaptive Video Streaming System
US8867337B2 (en) 2011-04-26 2014-10-21 International Business Machines Corporation Structure-aware caching
US10467042B1 (en) 2011-04-27 2019-11-05 Amazon Technologies, Inc. Optimized deployment based upon customer locality
CN102185923A (en) * 2011-05-16 2011-09-14 广州市动景计算机科技有限公司 Webpage browsing method for mobile communication equipment terminal
CN102222086B (en) * 2011-05-18 2014-11-26 广州市动景计算机科技有限公司 Webpage viewing method and webpage viewing device based on mobile terminal as well as mobile terminal
US8285808B1 (en) 2011-05-20 2012-10-09 Cloudflare, Inc. Loading of web resources
US9117221B2 (en) * 2011-06-30 2015-08-25 Flite, Inc. System and method for the transmission of live updates of embeddable units
KR101589801B1 (en) * 2011-09-20 2016-01-28 엠파이어 테크놀로지 디벨롭먼트 엘엘씨 Peer-to-peer data migration
WO2013067224A1 (en) * 2011-11-02 2013-05-10 Akamai Technologies, Inc. Multi-domain configuration handling in an edge network server
KR101844512B1 (en) * 2011-11-18 2018-05-21 삼성전자주식회사 Method for using an application, gateway using thereof, terminal using thereof, and terminal system using thereof
CN102420822A (en) * 2011-11-29 2012-04-18 中兴通讯股份有限公司 Network file transmission method and system
CN102521407B (en) * 2011-12-28 2015-04-01 谢勇 Method for document collaboration among users
US8904009B1 (en) 2012-02-10 2014-12-02 Amazon Technologies, Inc. Dynamic content delivery
US10021179B1 (en) 2012-02-21 2018-07-10 Amazon Technologies, Inc. Local resource delivery network
US9083743B1 (en) 2012-03-21 2015-07-14 Amazon Technologies, Inc. Managing request routing information utilizing performance information
US10623408B1 (en) 2012-04-02 2020-04-14 Amazon Technologies, Inc. Context sensitive object management
US8892684B2 (en) 2012-05-25 2014-11-18 Microsoft Corporation Dynamic selection of resources for compression in a content delivery network
US9282137B2 (en) 2012-05-25 2016-03-08 Microsoft Technology Licensing, Llc Dynamic package creation for predictive page load optimization
US9154551B1 (en) 2012-06-11 2015-10-06 Amazon Technologies, Inc. Processing DNS queries to identify pre-processing information
US9378582B2 (en) * 2012-07-31 2016-06-28 Siemens Product Lifecycle Management Software Inc. Rendering of design data
US8356074B1 (en) 2012-08-09 2013-01-15 Limelight Networks, Inc. Inter point of presence split architecture
US8612588B1 (en) 2012-08-09 2013-12-17 Limelight Networks, Inc. Point of presence to point of presence web page compression
US9525659B1 (en) 2012-09-04 2016-12-20 Amazon Technologies, Inc. Request routing utilizing point of presence load information
US9323577B2 (en) 2012-09-20 2016-04-26 Amazon Technologies, Inc. Automated profiling of resource usage
US9135048B2 (en) 2012-09-20 2015-09-15 Amazon Technologies, Inc. Automated profiling of resource usage
CN103731399B (en) * 2012-10-11 2017-12-26 北京百度网讯科技有限公司 Data access method, system and device based on CDN
US9537973B2 (en) * 2012-11-01 2017-01-03 Microsoft Technology Licensing, Llc CDN load balancing in the cloud
US9374276B2 (en) 2012-11-01 2016-06-21 Microsoft Technology Licensing, Llc CDN traffic management in the cloud
US10205698B1 (en) 2012-12-19 2019-02-12 Amazon Technologies, Inc. Source-dependent address resolution
US9509804B2 (en) 2012-12-21 2016-11-29 Akami Technologies, Inc. Scalable content delivery network request handling mechanism to support a request processing layer
US9654579B2 (en) 2012-12-21 2017-05-16 Akamai Technologies, Inc. Scalable content delivery network request handling mechanism
US8645494B1 (en) 2013-03-15 2014-02-04 Limelight Networks, Inc. Two-file preloading for browser-based web acceleration
US9294391B1 (en) 2013-06-04 2016-03-22 Amazon Technologies, Inc. Managing network computing components utilizing request routing
US9686372B1 (en) * 2013-08-14 2017-06-20 Amazon Technologies, Inc. Systems and methods for automatically rewriting network page code
US9648125B2 (en) * 2013-10-04 2017-05-09 Akamai Technologies, Inc. Systems and methods for caching content with notification-based invalidation
US9641640B2 (en) 2013-10-04 2017-05-02 Akamai Technologies, Inc. Systems and methods for controlling cacheability and privacy of objects
US9813515B2 (en) 2013-10-04 2017-11-07 Akamai Technologies, Inc. Systems and methods for caching content with notification-based invalidation with extension to clients
GB2519516B (en) * 2013-10-21 2017-05-10 Openwave Mobility Inc A method, apparatus and computer program for modifying messages in a communications network
US20150163326A1 (en) * 2013-12-06 2015-06-11 Dropbox, Inc. Approaches for remotely unzipping content
CN103747049A (en) * 2013-12-24 2014-04-23 乐视网信息技术(北京)股份有限公司 CDN file distribution method, control center and system
WO2015151186A1 (en) * 2014-03-31 2015-10-08 三菱電機株式会社 Client device, data communication system, data communication method, and program
US9781135B2 (en) 2014-06-20 2017-10-03 Microsoft Technology Licensing, Llc Intelligent web page content blocking
US10091096B1 (en) 2014-12-18 2018-10-02 Amazon Technologies, Inc. Routing mode and point-of-presence selection service
US10033627B1 (en) 2014-12-18 2018-07-24 Amazon Technologies, Inc. Routing mode and point-of-presence selection service
US10097448B1 (en) 2014-12-18 2018-10-09 Amazon Technologies, Inc. Routing mode and point-of-presence selection service
US10225326B1 (en) 2015-03-23 2019-03-05 Amazon Technologies, Inc. Point of presence based data uploading
US9887931B1 (en) 2015-03-30 2018-02-06 Amazon Technologies, Inc. Traffic surge management for points of presence
US9819567B1 (en) 2015-03-30 2017-11-14 Amazon Technologies, Inc. Traffic surge management for points of presence
US9887932B1 (en) 2015-03-30 2018-02-06 Amazon Technologies, Inc. Traffic surge management for points of presence
US9832141B1 (en) 2015-05-13 2017-11-28 Amazon Technologies, Inc. Routing based request correlation
US10616179B1 (en) 2015-06-25 2020-04-07 Amazon Technologies, Inc. Selective routing of domain name system (DNS) requests
US10146873B2 (en) * 2015-06-29 2018-12-04 Microsoft Technology Licensing, Llc Cloud-native documents integrated with legacy tools
US9851953B2 (en) 2015-06-29 2017-12-26 Oracle International Corporation Cloud based editor for generation of interpreted artifacts for mobile runtime
US10097566B1 (en) 2015-07-31 2018-10-09 Amazon Technologies, Inc. Identifying targets of network attacks
US11102313B2 (en) 2015-08-10 2021-08-24 Oracle International Corporation Transactional autosave with local and remote lifecycles
US10582001B2 (en) 2015-08-11 2020-03-03 Oracle International Corporation Asynchronous pre-caching of synchronously loaded resources
US9959100B2 (en) * 2015-08-12 2018-05-01 Oracle International Corporation Efficient storage and transfer of iOS binary files
US10013668B2 (en) 2015-08-14 2018-07-03 Oracle International Corporation Secure storage of enterprise certificates for cloud services
US10419514B2 (en) 2015-08-14 2019-09-17 Oracle International Corporation Discovery of federated logins
US10452497B2 (en) 2015-08-14 2019-10-22 Oracle International Corporation Restoration of UI state in transactional systems
US10848582B2 (en) 2015-09-11 2020-11-24 Amazon Technologies, Inc. Customizable event-triggered computation at edge locations
US11895212B2 (en) * 2015-09-11 2024-02-06 Amazon Technologies, Inc. Read-only data store replication to edge locations
US9742795B1 (en) 2015-09-24 2017-08-22 Amazon Technologies, Inc. Mitigating network attacks
US9794281B1 (en) 2015-09-24 2017-10-17 Amazon Technologies, Inc. Identifying sources of network attacks
US9774619B1 (en) 2015-09-24 2017-09-26 Amazon Technologies, Inc. Mitigating network attacks
US10582012B2 (en) 2015-10-16 2020-03-03 Oracle International Corporation Adaptive data transfer optimization
US10270878B1 (en) 2015-11-10 2019-04-23 Amazon Technologies, Inc. Routing for origin-facing points of presence
US10257307B1 (en) 2015-12-11 2019-04-09 Amazon Technologies, Inc. Reserved cache space in content delivery networks
US10049051B1 (en) 2015-12-11 2018-08-14 Amazon Technologies, Inc. Reserved cache space in content delivery networks
US10348639B2 (en) 2015-12-18 2019-07-09 Amazon Technologies, Inc. Use of virtual endpoints to improve data transmission rates
CN105392021A (en) * 2015-12-23 2016-03-09 武汉鸿瑞达信息技术有限公司 Massive video pushing system and pushing method thereof
CN105530553B (en) * 2015-12-24 2018-09-11 武汉鸿瑞达信息技术有限公司 The real time flow medium live broadcast system that RTMP is combined with RUDP
US10375159B2 (en) * 2016-04-28 2019-08-06 Fastly, Inc. Load balancing origin server requests
US10341410B2 (en) 2016-05-11 2019-07-02 Oracle International Corporation Security tokens for a multi-tenant identity and data security management cloud service
US10454940B2 (en) 2016-05-11 2019-10-22 Oracle International Corporation Identity cloud service authorization model
US10581820B2 (en) 2016-05-11 2020-03-03 Oracle International Corporation Key generation and rollover
US10425386B2 (en) 2016-05-11 2019-09-24 Oracle International Corporation Policy enforcement point for a multi-tenant identity and data security management cloud service
US10878079B2 (en) 2016-05-11 2020-12-29 Oracle International Corporation Identity cloud service authorization model with dynamic roles and scopes
US9838377B1 (en) 2016-05-11 2017-12-05 Oracle International Corporation Task segregation in a multi-tenant identity and data security management cloud service
US10075551B1 (en) 2016-06-06 2018-09-11 Amazon Technologies, Inc. Request management for hierarchical cache
US10110694B1 (en) 2016-06-29 2018-10-23 Amazon Technologies, Inc. Adaptive transfer rate for retrieving content from a server
WO2018020291A1 (en) * 2016-07-25 2018-02-01 Telefonaktiebolaget Lm Ericsson (Publ) Content delivery network (cdn) for uploading, caching and delivering user content
US10530578B2 (en) 2016-08-05 2020-01-07 Oracle International Corporation Key store service
US10255061B2 (en) 2016-08-05 2019-04-09 Oracle International Corporation Zero down time upgrade for a multi-tenant identity and data security management cloud service
US10585682B2 (en) 2016-08-05 2020-03-10 Oracle International Corporation Tenant self-service troubleshooting for a multi-tenant identity and data security management cloud service
US10263947B2 (en) 2016-08-05 2019-04-16 Oracle International Corporation LDAP to SCIM proxy service
US10735394B2 (en) 2016-08-05 2020-08-04 Oracle International Corporation Caching framework for a multi-tenant identity and data security management cloud service
US10505941B2 (en) 2016-08-05 2019-12-10 Oracle International Corporation Virtual directory system for LDAP to SCIM proxy service
US10516672B2 (en) 2016-08-05 2019-12-24 Oracle International Corporation Service discovery for a multi-tenant identity and data security management cloud service
US9992086B1 (en) 2016-08-23 2018-06-05 Amazon Technologies, Inc. External health checking of virtual private cloud network environments
US10033691B1 (en) 2016-08-24 2018-07-24 Amazon Technologies, Inc. Adaptive resolution of domain name requests in virtual private cloud network environments
US10484382B2 (en) 2016-08-31 2019-11-19 Oracle International Corporation Data management for a multi-tenant identity cloud service
US10511589B2 (en) 2016-09-14 2019-12-17 Oracle International Corporation Single logout functionality for a multi-tenant identity and data security management cloud service
US10594684B2 (en) 2016-09-14 2020-03-17 Oracle International Corporation Generating derived credentials for a multi-tenant identity cloud service
US10846390B2 (en) 2016-09-14 2020-11-24 Oracle International Corporation Single sign-on functionality for a multi-tenant identity and data security management cloud service
US10341354B2 (en) 2016-09-16 2019-07-02 Oracle International Corporation Distributed high availability agent architecture
US10791087B2 (en) 2016-09-16 2020-09-29 Oracle International Corporation SCIM to LDAP mapping using subtype attributes
US10567364B2 (en) 2016-09-16 2020-02-18 Oracle International Corporation Preserving LDAP hierarchy in a SCIM directory using special marker groups
US10484243B2 (en) 2016-09-16 2019-11-19 Oracle International Corporation Application management for a multi-tenant identity cloud service
EP3513542B1 (en) 2016-09-16 2021-05-19 Oracle International Corporation Tenant and service management for a multi-tenant identity and data security management cloud service
US10445395B2 (en) 2016-09-16 2019-10-15 Oracle International Corporation Cookie based state propagation for a multi-tenant identity cloud service
US10904074B2 (en) 2016-09-17 2021-01-26 Oracle International Corporation Composite event handler for a multi-tenant identity cloud service
US10616250B2 (en) 2016-10-05 2020-04-07 Amazon Technologies, Inc. Network addresses with encoded DNS-level information
US10904307B2 (en) * 2016-12-14 2021-01-26 Verizon Digital Media Services Inc. Distributed management of live stream storage
US10372499B1 (en) 2016-12-27 2019-08-06 Amazon Technologies, Inc. Efficient region selection system for executing request-driven code
US10831549B1 (en) 2016-12-27 2020-11-10 Amazon Technologies, Inc. Multi-region request-driven code execution system
US10938884B1 (en) 2017-01-30 2021-03-02 Amazon Technologies, Inc. Origin server cloaking using virtual private cloud network environments
US10261836B2 (en) 2017-03-21 2019-04-16 Oracle International Corporation Dynamic dispatching of workloads spanning heterogeneous services
US10503613B1 (en) 2017-04-21 2019-12-10 Amazon Technologies, Inc. Efficient serving of resources during server unavailability
US10454915B2 (en) 2017-05-18 2019-10-22 Oracle International Corporation User authentication using kerberos with identity cloud service
US11075987B1 (en) 2017-06-12 2021-07-27 Amazon Technologies, Inc. Load estimating content delivery network
US10447648B2 (en) 2017-06-19 2019-10-15 Amazon Technologies, Inc. Assignment of a POP to a DNS resolver based on volume of communications over a link between client devices and the POP
US10348858B2 (en) 2017-09-15 2019-07-09 Oracle International Corporation Dynamic message queues for a microservice based cloud service
US10742593B1 (en) 2017-09-25 2020-08-11 Amazon Technologies, Inc. Hybrid content request routing system
US11308132B2 (en) 2017-09-27 2022-04-19 Oracle International Corporation Reference attributes for related stored objects in a multi-tenant cloud service
US10834137B2 (en) 2017-09-28 2020-11-10 Oracle International Corporation Rest-based declarative policy management
US11271969B2 (en) 2017-09-28 2022-03-08 Oracle International Corporation Rest-based declarative policy management
US10705823B2 (en) 2017-09-29 2020-07-07 Oracle International Corporation Application templates and upgrade framework for a multi-tenant identity cloud service
US10715564B2 (en) 2018-01-29 2020-07-14 Oracle International Corporation Dynamic client registration for an identity cloud service
US10592578B1 (en) 2018-03-07 2020-03-17 Amazon Technologies, Inc. Predictive content push-enabled content delivery network
US10931656B2 (en) 2018-03-27 2021-02-23 Oracle International Corporation Cross-region trust for a multi-tenant identity cloud service
US11165634B2 (en) 2018-04-02 2021-11-02 Oracle International Corporation Data replication conflict detection and resolution for a multi-tenant identity cloud service
US10798165B2 (en) 2018-04-02 2020-10-06 Oracle International Corporation Tenant data comparison for a multi-tenant identity cloud service
US11258775B2 (en) 2018-04-04 2022-02-22 Oracle International Corporation Local write for a multi-tenant identity cloud service
US20190327140A1 (en) 2018-04-24 2019-10-24 Level 3 Communications, Llc Subscriber configuration ingestion in a content delivery network
US11012444B2 (en) 2018-06-25 2021-05-18 Oracle International Corporation Declarative third party identity provider integration for a multi-tenant identity cloud service
US10764273B2 (en) 2018-06-28 2020-09-01 Oracle International Corporation Session synchronization across multiple devices in an identity cloud service
CN109189399A (en) * 2018-09-11 2019-01-11 四川长虹电器股份有限公司 A method of compression is packaged about ionic and is fast compiled
US11693835B2 (en) 2018-10-17 2023-07-04 Oracle International Corporation Dynamic database schema allocation on tenant onboarding for a multi-tenant identity cloud service
US11321187B2 (en) 2018-10-19 2022-05-03 Oracle International Corporation Assured lazy rollback for a multi-tenant identity cloud service
US10862852B1 (en) 2018-11-16 2020-12-08 Amazon Technologies, Inc. Resolution of domain name requests in heterogeneous network environments
US11025747B1 (en) 2018-12-12 2021-06-01 Amazon Technologies, Inc. Content request pattern-based routing system
US11930439B2 (en) 2019-01-09 2024-03-12 Margo Networks Private Limited Network control and optimization (NCO) system and method
US11651357B2 (en) 2019-02-01 2023-05-16 Oracle International Corporation Multifactor authentication without a user footprint
US11061929B2 (en) 2019-02-08 2021-07-13 Oracle International Corporation Replication of resource type and schema metadata for a multi-tenant identity cloud service
US11321343B2 (en) 2019-02-19 2022-05-03 Oracle International Corporation Tenant replication bootstrap for a multi-tenant identity cloud service
US11669321B2 (en) 2019-02-20 2023-06-06 Oracle International Corporation Automated database upgrade for a multi-tenant identity cloud service
US11792226B2 (en) 2019-02-25 2023-10-17 Oracle International Corporation Automatic api document generation from scim metadata
US11423111B2 (en) 2019-02-25 2022-08-23 Oracle International Corporation Client API for rest based endpoints for a multi-tenant identify cloud service
US11870770B2 (en) 2019-09-13 2024-01-09 Oracle International Corporation Multi-tenant identity cloud service with on-premise authentication integration
US11687378B2 (en) 2019-09-13 2023-06-27 Oracle International Corporation Multi-tenant identity cloud service with on-premise authentication integration and bridge high availability
US11611548B2 (en) 2019-11-22 2023-03-21 Oracle International Corporation Bulk multifactor authentication enrollment
US12062068B2 (en) 2021-05-04 2024-08-13 Margo Networks Pvt. Ltd. Oneapp system and method
US11695855B2 (en) 2021-05-17 2023-07-04 Margo Networks Pvt. Ltd. User generated pluggable content delivery network (CDN) system and method
WO2023224680A1 (en) 2022-05-18 2023-11-23 Margo Networks Pvt. Ltd. Peer to peer (p2p) encrypted data transfer/offload system and method
US11943296B2 (en) * 2022-05-31 2024-03-26 Red Hat, Inc. Workload-based cache compression in a distributed storage system
US20240171810A1 (en) * 2022-11-17 2024-05-23 Lilac Cloud, Inc. Application cache acceleration using device content cache

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5978841A (en) * 1996-03-08 1999-11-02 Berger; Louis Look ahead caching process for improved information retrieval response time by caching bodies of information before they are requested by the user
WO2001063485A2 (en) 2000-02-24 2001-08-30 Transfinity Corporation Content distribution system
US20010029544A1 (en) * 2000-03-24 2001-10-11 Cousins Robert E. System for increasing data packet transfer rate between a plurality of modems and the internet
US20020056010A1 (en) 2000-11-09 2002-05-09 Sri International Method and apparatus for transmitting compressed data transparently over a client-server network
US20020059463A1 (en) * 2000-11-10 2002-05-16 Leonid Goldstein Method and system for accelerating internet access through data compression

Family Cites Families (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6003030A (en) 1995-06-07 1999-12-14 Intervu, Inc. System and method for optimized storage and retrieval of data on a distributed computer network
US6029175A (en) 1995-10-26 2000-02-22 Teknowledge Corporation Automatic retrieval of changed files by a network software agent
US5671389A (en) 1996-01-11 1997-09-23 Quantum Corporation Adaptive compression caching for tape recording
US6112250A (en) 1996-04-11 2000-08-29 America Online, Inc. Recompression of files at an intermediate node in a network system
US5991809A (en) 1996-07-25 1999-11-23 Clearway Technologies, Llc Web serving system that coordinates multiple servers to optimize file transfers
US5852717A (en) * 1996-11-20 1998-12-22 Shiva Corporation Performance optimizations for computer networks utilizing HTTP
US6185625B1 (en) 1996-12-20 2001-02-06 Intel Corporation Scaling proxy server sending to the client a graphical user interface for establishing object encoding preferences after receiving the client's request for the object
US6421733B1 (en) 1997-03-25 2002-07-16 Intel Corporation System for dynamically transcoding data transmitted between computers
US5949551A (en) * 1997-04-25 1999-09-07 Eastman Kodak Company Image handling method using different image resolutions
US6119143A (en) 1997-05-22 2000-09-12 International Business Machines Corporation Computer system and method for load balancing with selective control
SG118132A1 (en) * 1997-11-13 2006-01-27 Hyperspace Communications Inc File transfer system
AU1467599A (en) * 1997-11-20 1999-06-15 Xacct Technologies, Inc. Network accounting and billing system and method
US6185598B1 (en) 1998-02-10 2001-02-06 Digital Island, Inc. Optimized network resource location
US6243761B1 (en) 1998-03-26 2001-06-05 Digital Equipment Corporation Method for dynamically adjusting multimedia content of a web page by a server in accordance to network path characteristics between client and server
US6003082A (en) * 1998-04-22 1999-12-14 International Business Machines Corporation Selective internet request caching and execution system
US6397259B1 (en) * 1998-05-29 2002-05-28 Palm, Inc. Method, system and apparatus for packet minimized communications
US6108703A (en) 1998-07-14 2000-08-22 Massachusetts Institute Of Technology Global hosting system
US6542508B1 (en) * 1998-12-17 2003-04-01 Watchguard Technologies, Inc. Policy engine using stream classifier and policy binding database to associate data packet with appropriate action processor for processing without involvement of a host processor
US6460076B1 (en) * 1998-12-21 2002-10-01 Qwest Communications International, Inc. Pay per record system and method
US6505230B1 (en) * 1999-05-14 2003-01-07 Pivia, Inc. Client-server independent intermediary mechanism
US6484143B1 (en) 1999-11-22 2002-11-19 Speedera Networks, Inc. User device and system for traffic management and content distribution over a world wide area network
US6754699B2 (en) * 2000-07-19 2004-06-22 Speedera Networks, Inc. Content delivery and global traffic management network system
US6405252B1 (en) 1999-11-22 2002-06-11 Speedera Networks, Inc. Integrated point of presence server network
US6820133B1 (en) 2000-02-07 2004-11-16 Netli, Inc. System and method for high-performance delivery of web content using high-performance communications protocol between the first and second specialized intermediate nodes to optimize a measure of communications performance between the source and the destination
US20020152305A1 (en) * 2000-03-03 2002-10-17 Jackson Gregory J. Systems and methods for resource utilization analysis in information management environments
US6473232B2 (en) * 2000-03-08 2002-10-29 Canon Kabushiki Kaisha Optical system having a diffractive optical element, and optical apparatus
CA2303635A1 (en) * 2000-03-31 2001-09-30 Allan Isfan Fail to pots architecture
US7240100B1 (en) 2000-04-14 2007-07-03 Akamai Technologies, Inc. Content delivery network (CDN) content server request handling mechanism with metadata framework support
US6976090B2 (en) 2000-04-20 2005-12-13 Actona Technologies Ltd. Differentiated content and application delivery via internet
TW571089B (en) * 2000-04-21 2004-01-11 Nikon Corp Defect testing apparatus and defect testing method
US6789815B2 (en) * 2000-04-27 2004-09-14 Wing Enterprises, Inc. Stowable-lock, convertible-pintle hitch
US7010578B1 (en) * 2000-09-21 2006-03-07 Akamai Technologies, Inc. Internet content delivery service with third party cache interface support
US6751673B2 (en) * 2001-01-03 2004-06-15 Akamai Technologies, Inc. Streaming media subscription mechanism for a content delivery network
US7096266B2 (en) * 2001-01-08 2006-08-22 Akamai Technologies, Inc. Extending an Internet content delivery network into an enterprise
US20020107701A1 (en) * 2001-02-02 2002-08-08 Batty Robert L. Systems and methods for metering content on the internet
WO2002071191A2 (en) * 2001-03-02 2002-09-12 Kasenna, Inc. Metadata enabled push-pull model for efficient low-latency video-content distribution over a network
US7200681B1 (en) 2001-07-30 2007-04-03 Akamai Technologies, Inc. Edge side components and application programming environment for building and delivering highly distributed heterogenous component-based web applications
US20030061206A1 (en) * 2001-09-27 2003-03-27 Richard Qian Personalized content delivery and media consumption
US7155478B2 (en) * 2001-10-03 2006-12-26 International Business Machines Corporation Selectively handling data processing requests in a computer communications network
US7133905B2 (en) 2002-04-09 2006-11-07 Akamai Technologies, Inc. Method and system for tiered distribution in a content delivery network
US7395355B2 (en) 2002-07-11 2008-07-01 Akamai Technologies, Inc. Method for caching and delivery of compressed content in a content delivery network

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5978841A (en) * 1996-03-08 1999-11-02 Berger; Louis Look ahead caching process for improved information retrieval response time by caching bodies of information before they are requested by the user
WO2001063485A2 (en) 2000-02-24 2001-08-30 Transfinity Corporation Content distribution system
US20010029544A1 (en) * 2000-03-24 2001-10-11 Cousins Robert E. System for increasing data packet transfer rate between a plurality of modems and the internet
US20020056010A1 (en) 2000-11-09 2002-05-09 Sri International Method and apparatus for transmitting compressed data transparently over a client-server network
US20020059463A1 (en) * 2000-11-10 2002-05-16 Leonid Goldstein Method and system for accelerating internet access through data compression

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP1535177A4

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1669878A1 (en) * 2003-09-30 2006-06-14 Sony Corporation Information reproduction device and method, and program
EP1669878A4 (en) * 2003-09-30 2007-07-11 Sony Corp Information reproduction device and method, and program
US8156122B2 (en) 2003-09-30 2012-04-10 Sony Corporation Information reproduction device and method and program
EP1706207A2 (en) * 2003-12-29 2006-10-04 Venturi Wireless, Incorporated Reusable compressed objects
EP1706207A4 (en) * 2003-12-29 2008-10-29 Venturi Wireless Inc Reusable compressed objects
WO2007000493A1 (en) * 2005-06-29 2007-01-04 Ascia Oy Data compression arrangement
EP2454854A2 (en) * 2009-07-17 2012-05-23 Aryaka Networks, Inc. Application acceleration as a service system and method
EP2454854A4 (en) * 2009-07-17 2013-02-20 Aryaka Networks Inc Application acceleration as a service system and method
US8782769B2 (en) 2011-09-27 2014-07-15 Oracle International Corporation System and method for providing a rest-based management service in a traffic director environment
CN103827828A (en) * 2011-09-27 2014-05-28 甲骨文国际公司 System and method for providing flexibility in load balancing and data compression in a traffic director environment
WO2013049238A3 (en) * 2011-09-27 2013-07-11 Oracle International Corporation System and method for providing flexibility in load balancing and data compression in a traffic director environment
US8914502B2 (en) 2011-09-27 2014-12-16 Oracle International Corporation System and method for dynamic discovery of origin servers in a traffic director environment
US8914521B2 (en) 2011-09-27 2014-12-16 Oracle International Corporation System and method for providing active-passive routing in a traffic director environment
JP2014534492A (en) * 2011-09-27 2014-12-18 オラクル・インターナショナル・コーポレイション System and method for providing load balancing and data compression flexibility in a traffic director environment
US9128764B2 (en) 2011-09-27 2015-09-08 Oracle International Corporation System and method for providing flexibility in configuring HTTP load balancing in a traffic director environment
US9311155B2 (en) 2011-09-27 2016-04-12 Oracle International Corporation System and method for auto-tab completion of context sensitive remote managed objects in a traffic director environment
US9477528B2 (en) 2011-09-27 2016-10-25 Oracle International Corporation System and method for providing a rest-based management service in a traffic director environment
US9652293B2 (en) 2011-09-27 2017-05-16 Oracle International Corporation System and method for dynamic cache data decompression in a traffic director environment
US9733983B2 (en) 2011-09-27 2017-08-15 Oracle International Corporation System and method for surge protection and rate acceleration in a traffic director environment
CN103827828B (en) * 2011-09-27 2017-09-12 甲骨文国际公司 For the system and method for the flexibility that load balance and data compression are provided in flow director environment
WO2016153707A1 (en) * 2015-03-25 2016-09-29 Qualcomm Incorporated Conveying data between devices in wireless personal area network

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US20040010621A1 (en) 2004-01-15
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US20150058439A1 (en) 2015-02-26
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US7395355B2 (en) 2008-07-01
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US20080046596A1 (en) 2008-02-21
US20150058455A1 (en) 2015-02-26
US8903937B2 (en) 2014-12-02
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