CN111818143A - CDN (content delivery network) content distribution management platform - Google Patents
CDN (content delivery network) content distribution management platform Download PDFInfo
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- CN111818143A CN111818143A CN202010601751.4A CN202010601751A CN111818143A CN 111818143 A CN111818143 A CN 111818143A CN 202010601751 A CN202010601751 A CN 202010601751A CN 111818143 A CN111818143 A CN 111818143A
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- 238000007726 management method Methods 0.000 title claims abstract description 31
- 238000001514 detection method Methods 0.000 claims abstract description 28
- 238000003012 network analysis Methods 0.000 claims abstract description 6
- 238000004458 analytical method Methods 0.000 claims description 36
- 230000010354 integration Effects 0.000 claims description 14
- 230000008676 import Effects 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 3
- 238000010835 comparative analysis Methods 0.000 claims 1
- 238000007596 consolidation process Methods 0.000 claims 1
- 238000013480 data collection Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 6
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/101—Server selection for load balancing based on network conditions
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Abstract
The invention discloses a CDN (content delivery network) content distribution management platform, which comprises: the system comprises a source server, a content distribution unit, a content service engine unit, a load balancing unit and a terminal user; the user terminal is used for sending a content request to the content distribution unit to realize the scheduling of the requested content; and the content distribution unit receives the content request, then confirms the content service engine corresponding to the sending request terminal, and calls corresponding data information from the source server to transmit the data information to the corresponding content service engine. In the invention, the load network analysis of a plurality of content service engines in the content service engine unit corresponding to the user terminal is realized through the service engine detection unit in the load balancing unit, and the optimal content service engine in the content service engine unit corresponding to the user terminal is obtained and fed back to the content distribution unit for content distribution, so that the user access speed is obviously improved, and the user experience is enhanced.
Description
Technical Field
The invention relates to the technical field of CDN (content delivery network), in particular to a CDN content delivery management platform.
Background
The CDN, namely a content delivery network, is an intelligent virtual network constructed on the basis of the existing network, and by means of edge servers deployed in various places and through functional modules of load balancing, content delivery, scheduling and the like of a central platform, a user can obtain required content nearby, network congestion is reduced, and the access response speed and hit rate of the user are improved. The key technology of the CDN is mainly content storage and distribution technology.
The currently used CDN network content distribution management platform only distributes content information to a content service engine unit of a region corresponding to a user terminal when realizing content distribution, cannot analyze a plurality of content service engines in the region content service engine unit to determine optimal distribution, so that the user access speed improvement effect is poor, and meanwhile, each region content service engine unit cannot be analyzed to perform intelligent adjustment management, so that the load requirement is better met.
Disclosure of Invention
In order to achieve the purpose, the invention adopts the following technical scheme: a CDN network content delivery management platform, comprising: the system comprises a source server, a content distribution unit, a content service engine unit, a load balancing unit and a terminal user;
the user terminal is used for sending a content request to the content distribution unit to realize the scheduling of the requested content;
the content distribution unit receives the content request and then confirms the content service engine corresponding to the sending request terminal, and calls corresponding data information from the source server to transmit the data information to the corresponding content service engine;
the content service engine units are arranged in the same area and respectively consist of a plurality of content service engines, and the content service engines transmit data information sent by the content distribution unit to the user terminal;
the load balancing unit is used for carrying out load and network analysis on the plurality of content service engine units and confirming the optimal content service engine, and the load balancing unit is also used for carrying out load analysis on the content service engine units and acquiring the scheduling management requirements on the content service engine units.
As a further description of the above technical solution:
the load balancing unit consists of a service engine detection unit and an integration analysis unit, wherein the service engine detection unit is used for detecting the load and the network of the content service engine units in different areas and analyzing the optimal content service engine in the content service engine unit in the same area;
the integration analysis unit is used for detecting and analyzing the information loaded in the content service engine units in different areas, integrating, analyzing and processing the data and acquiring the scheduling management requirement of the content service engine units.
As a further description of the above technical solution:
the service engine detection unit comprises an information import module, a load detection module and a network detection module;
the information import module is used for calling the content service engine unit of the corresponding area confirmed in the content distribution unit;
the load detection module is used for carrying out load analysis on a plurality of content service engines in the content service engine unit of the corresponding area and acquiring load information of the plurality of content service engines in the content service engine unit of the corresponding area;
the network detection module analyzes the network condition of the plurality of content service engines in the content service engine unit of the corresponding area, and acquires the network condition information of the plurality of content service engines in the content service engine unit of the corresponding area.
As a further description of the above technical solution:
the service engine detection unit also comprises a comparison analysis module;
the comparison analysis module is used for calling the load information of the plurality of content service engines in the content service engine unit of the corresponding area and the network condition information of the plurality of content service engines in the content service engine unit of the corresponding area to carry out comparison analysis to obtain the optimal content service engine and feed the optimal content service engine back to the content distribution unit.
As a further description of the above technical solution:
the integrated analysis unit further comprises an adjustment processing module;
the adjustment processing module is used for calling the participation degree analysis module to analyze the acquired participation degree information of each content service engine in the content service engine units in different areas, and performing intelligent analysis to acquire the adjustment schemes of the content service engine units in different areas.
As a further description of the above technical solution:
the content distribution unit comprises a data request receiving module, a data calling module, a service engine determining module and a data distribution module;
the data request receiving module is used for receiving a content request sent by a user terminal and automatically acquiring the area information of the user terminal;
the data calling module is used for calling corresponding data information in the source server according to the content request;
the service engine determining module is used for determining a content service engine unit of the area according to the area information of the user terminal and transmitting the content service engine unit to the load balancing unit, and the service engine determining module is also used for acquiring the content service engine analyzed and acquired in the load balancing unit.
As a further description of the above technical solution:
the source server also comprises a content auditing module and a content management module;
the content auditing module is used for auditing and analyzing the content information in the source server and cleaning the content information which does not pass the auditing;
the content management module is used for modifying, deleting and increasing the content information in the source server.
The invention provides a CDN (content delivery network) content distribution management platform. The method has the following beneficial effects:
the CDN network content distribution management platform achieves load network analysis on a plurality of content service engines in a content service engine unit corresponding to a user terminal through a service engine detection unit in a load balancing unit, obtains an optimal content service engine in the content service engine unit corresponding to the user terminal, feeds the optimal content service engine back to the content distribution unit and distributes content, user access speed is obviously improved, user experience is enhanced, meanwhile, an integration analysis unit in the load balancing unit can collect data of loads of the content service engines in a plurality of regional content service engine units, obtains participation information of the content service engines, analyzes the obtained participation information of the content service engines in different regions, and intelligently analyzes and obtains adjustment schemes of the content service engine units in different regions.
Drawings
Fig. 1 is a schematic overall structure diagram of a CDN network content delivery management platform according to the present invention;
FIG. 2 is a schematic diagram of a content distribution unit according to the present invention;
FIG. 3 is a schematic diagram of a load balancing unit according to the present invention;
FIG. 4 is a schematic diagram of a service engine detection unit according to the present invention;
FIG. 5 is a schematic diagram of an integrated analytical unit according to the present invention;
fig. 6 is a schematic diagram of an origin server in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-6, a CDN network content delivery management platform includes: the system comprises a source server, a content distribution unit, a content service engine unit, a load balancing unit and a terminal user;
the user terminal is used for sending a content request to the content distribution unit to realize the scheduling of the requested content;
the content distribution unit receives the content request and then confirms a content service engine corresponding to the sending request terminal, and calls corresponding data information from the source server to transmit the data information to the corresponding content service engine;
the content service engine units are arranged in the same area and respectively consist of a plurality of content service engines which transmit the data information sent by the content distribution unit to the user terminal;
the load balancing unit is used for carrying out load and network analysis on the plurality of content service engine units and confirming the optimal content service engine, and the load balancing unit is also used for carrying out load analysis on the content service engine units and acquiring the scheduling management requirement on the content service engine units.
The load balancing unit consists of a service engine detection unit and an integration analysis unit, wherein the service engine detection unit is used for detecting the load and the network of the content service engine units in different areas and analyzing the optimal content service engine in the content service engine unit in the same area;
the integration analysis unit is used for detecting and analyzing the information loaded in the content service engine units in different areas, integrating and analyzing the data and acquiring the scheduling management requirement of the content service engine units.
The service engine detection unit comprises an information import module, a load detection module and a network detection module;
the information import module is used for calling the content service engine unit of the corresponding area confirmed in the content distribution unit;
the load detection module is used for carrying out load analysis on a plurality of content service engines in the content service engine unit of the corresponding area and acquiring load information of the plurality of content service engines in the content service engine unit of the corresponding area;
the network detection module analyzes the network condition of the plurality of content service engines in the content service engine unit of the corresponding area, and acquires the network condition information of the plurality of content service engines in the content service engine unit of the corresponding area.
The service engine detection unit also comprises a comparison analysis module;
the comparison analysis module is used for calling the load information of the plurality of content service engines in the content service engine unit of the corresponding area and the network condition information of the plurality of content service engines in the content service engine unit of the corresponding area to carry out comparison analysis to obtain the optimal content service engine and feed the optimal content service engine back to the content distribution unit.
The service engine detection unit in the load balancing unit realizes load network analysis on a plurality of content service engines in the content service engine unit corresponding to the user terminal, obtains the optimal content service engine in the content service engine unit corresponding to the user terminal, feeds the optimal content service engine back to the content distribution unit and distributes the content, so that the user access speed is obviously improved, and the user experience is enhanced.
The integration analysis unit comprises a data acquisition module, a data integration module, a participation degree analysis module and an adjustment processing module;
the data acquisition module is used for acquiring historical data information of the load conditions of the content service engine units in different areas;
the data integration module is used for integrating the load condition historical data information collected by the content service engine units in different areas;
the participation degree analysis module analyzes the participation degree of each content service engine in the content service engine units in different areas;
the integrated analysis unit also comprises an adjustment processing module;
the adjustment processing module is used for calling the participation degree analysis module to analyze the acquired participation degree information of each content service engine in the content service engine units in different areas, and performing intelligent analysis to acquire the adjustment schemes of the content service engine units in different areas.
The integration analysis unit in the load balancing unit can acquire data of each content service engine load in the content service engine units in a plurality of areas, acquire the participation information of the content service engines, analyze the acquired participation information of each content service engine in the content service engine units in different areas, and perform intelligent analysis to acquire the adjustment scheme of the content service engine units in different areas.
The content distribution unit comprises a data request receiving module, a data calling module, a service engine determining module and a data distribution module;
the data request receiving module is used for receiving a content request sent by the user terminal and automatically acquiring the area information of the user terminal;
the data calling module is used for calling corresponding data information in the source server according to the content request;
the service engine determining module is used for determining a content service engine unit of the area according to the area information of the user terminal and transmitting the content service engine unit to the load balancing unit, and the service engine determining module is also used for acquiring the content service engine analyzed and acquired in the load balancing unit.
And the data distribution module is used for sending the called data information to the content service engine for the pair.
The source server also comprises a content auditing module and a content management module;
the content auditing module is used for auditing and analyzing the content information in the source server and cleaning the content information which does not pass the auditing;
the content management module is used for modifying, deleting and increasing the content information in the source server.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A CDN network content delivery management platform, comprising: the system comprises a source server, a content distribution unit, a content service engine unit, a load balancing unit and a user terminal;
the user terminal is used for sending a content request to the content distribution unit to realize the scheduling of the requested content;
the content distribution unit receives the content request and then confirms the content service engine corresponding to the sending request terminal, and calls corresponding data information from the source server to transmit the data information to the corresponding content service engine;
the content service engine units are arranged in the same area and respectively consist of a plurality of content service engines, and the content service engines transmit data information sent by the content distribution unit to the user terminal;
the load balancing unit is used for carrying out load and network analysis on the plurality of content service engine units and confirming the optimal content service engine, and the load balancing unit is also used for carrying out load analysis on the content service engine units and acquiring the scheduling management requirements on the content service engine units.
2. The CDN content delivery management platform of claim 1 wherein the load balancing unit is comprised of a service engine detection unit and an integration analysis unit, the service engine detection unit is configured to detect the load and the network of content service engine units in different regions and analyze the optimal content service engine in the content service engine unit in the same region;
the integration analysis unit is used for detecting and analyzing the information loaded in the content service engine units in different areas, integrating, analyzing and processing the data and acquiring the scheduling management requirement of the content service engine units.
3. The CDN network content delivery management platform of claim 2, wherein the service engine detection unit comprises an information import module, a load detection module, and a network detection module;
the information import module is used for calling the content service engine unit of the corresponding area confirmed in the content distribution unit;
the load detection module is used for carrying out load analysis on a plurality of content service engines in the content service engine unit of the corresponding area and acquiring load information of the plurality of content service engines in the content service engine unit of the corresponding area;
the network detection module analyzes the network condition of the plurality of content service engines in the content service engine unit of the corresponding area, and acquires the network condition information of the plurality of content service engines in the content service engine unit of the corresponding area.
4. The CDN network content delivery management platform of claim 2, wherein the service engine detection unit further comprises a comparative analysis module;
the comparison analysis module is used for calling the load information of the plurality of content service engines in the content service engine unit of the corresponding area and the network condition information of the plurality of content service engines in the content service engine unit of the corresponding area to carry out comparison analysis to obtain the optimal content service engine and feed the optimal content service engine back to the content distribution unit.
5. The CDN content delivery management platform of claim 2 wherein the integration analysis unit comprises a data collection module, a data integration module, a participation analysis module and an adjustment processing module;
the data acquisition module is used for acquiring historical data information of the load conditions of the content service engine units in different areas;
the data integration module is used for integrating the load condition historical data information collected by the content service engine units in different areas;
and the participation degree analysis module analyzes the participation degree of each content service engine in the content service engine units in different areas.
6. The CDN network content delivery management platform of claim 2, wherein the consolidation analysis unit further comprises an adjustment processing module;
the adjustment processing module is used for calling the participation degree analysis module to analyze the acquired participation degree information of each content service engine in the content service engine units in different areas, and performing intelligent analysis to acquire the adjustment schemes of the content service engine units in different areas.
7. The CDN content delivery management platform of claim 1 wherein the content delivery unit comprises a data request receiving module, a data invoking module, a service engine determining module and a data delivery module;
the data request receiving module is used for receiving a content request sent by a user terminal and automatically acquiring the area information of the user terminal;
the data calling module is used for calling corresponding data information in the source server according to the content request;
the service engine determining module is used for determining a content service engine unit of an area according to the area information of the user terminal and transmitting the content service engine unit to the load balancing unit, and the service engine determining module is also used for acquiring the content service engine analyzed and acquired in the load balancing unit;
and the data distribution module is used for sending the called data information to the content service engine for opposite use.
8. The CDN network content delivery management platform of claim 1, wherein the origin server further comprises a content auditing module and a content management module;
the content auditing module is used for auditing and analyzing the content information in the source server and cleaning the content information which does not pass the auditing;
the content management module is used for modifying, deleting and increasing the content information in the source server.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130013730A1 (en) * | 2011-07-08 | 2013-01-10 | Ming Li | Content delivery prediction and feedback systems |
| CN103036977A (en) * | 2012-12-13 | 2013-04-10 | 北京奇虎科技有限公司 | Business pushing method and pushing system based on content distribution network |
| CN105162878A (en) * | 2015-09-24 | 2015-12-16 | 网宿科技股份有限公司 | Distributed storage based file distribution system and method |
| CN105847381A (en) * | 2016-04-18 | 2016-08-10 | 乐视控股（北京）有限公司 | Scheduling method and device for content server |
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2020
- 2020-06-28 CN CN202010601751.4A patent/CN111818143A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130013730A1 (en) * | 2011-07-08 | 2013-01-10 | Ming Li | Content delivery prediction and feedback systems |
| CN103036977A (en) * | 2012-12-13 | 2013-04-10 | 北京奇虎科技有限公司 | Business pushing method and pushing system based on content distribution network |
| CN105162878A (en) * | 2015-09-24 | 2015-12-16 | 网宿科技股份有限公司 | Distributed storage based file distribution system and method |
| CN105847381A (en) * | 2016-04-18 | 2016-08-10 | 乐视控股（北京）有限公司 | Scheduling method and device for content server |
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Application publication date: 20201023 |
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