WO2011115625A1 - Procédé et appareil d'estimation de performance d'extrémité à extrémité ordinaire d'un réseau de données mobile - Google Patents

Procédé et appareil d'estimation de performance d'extrémité à extrémité ordinaire d'un réseau de données mobile Download PDF

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Publication number
WO2011115625A1
WO2011115625A1 PCT/US2010/027941 US2010027941W WO2011115625A1 WO 2011115625 A1 WO2011115625 A1 WO 2011115625A1 US 2010027941 W US2010027941 W US 2010027941W WO 2011115625 A1 WO2011115625 A1 WO 2011115625A1
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WO
WIPO (PCT)
Prior art keywords
tcp
mobile
packets
mobile session
measurements
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PCT/US2010/027941
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English (en)
Inventor
Tengywe E. Hong
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Velocent Systems Incorporated
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Publication date
Application filed by Velocent Systems Incorporated filed Critical Velocent Systems Incorporated
Priority to PCT/US2010/027941 priority Critical patent/WO2011115625A1/fr
Publication of WO2011115625A1 publication Critical patent/WO2011115625A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W80/00—Wireless network protocols or protocol adaptations to wireless operation
    • H04W80/06—Transport layer protocols, e.g. TCP [Transport Control Protocol] over wireless
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/18—Protocol analysers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/16—Implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

Definitions

  • This invention relates generally to performance assessment for data networks and more particularly to performance assessment for mobile data networks.
  • Data networks and in particular mobile data networks, are known in the art.
  • a mobile data network serves to permit mobile end users (and their communication platforms) to communicate (typically wirelessly) while moving or at least without being physically tethered to a specific geographic point.
  • Such networks are increasingly characterized by a large number of infrastructure elements including but not limited to various service delivery components such as base stations, gateways, routers, and so forth. Many of these networks move at least some of their data through the network as data packets and often while making use of the well-known Transmission Control Protocol (TCP).
  • TCP Transmission Control Protocol
  • Administering such a network involves, at the least, keeping the constituent infrastructure elements in good working order. Such administration can also encompass growth of the network to extend its range and/or its data-handling capabilities. These tasks, in turn, benefit from information regarding the existence and location of weak performance within the network. Such information can avoid expenditures and efforts that ultimately fail to fully remedy a given weakness or fully leverage a growth opportunity.
  • network control signaling messages i.e., the signaling messages that permit one network component to communicate with another network component with respect to management of traffic flow there between.
  • request success and request failure results or transactional latencies as pertain to network or application signaling messages often serve in these regards.
  • Such approaches typically do not produce end-to-end measurements that genuinely reflect the actual end-user's experienced quality in significant part because such information often only pertains to the limited pathway between two network components that are not situated at opposing ends of the network.
  • such approaches also typically lack an ability to produce an end-to-end view of mobile data network performance.
  • end-to-end will be understood to refer to the communication pathway from a discrete point at one end of the network to a discrete point at the opposing end of the network.
  • the pathway begins at one end with a mobile platform and then passes serially through a cell edge element, a cell site, various network elements, routers and/or switches, and finally to a server, the mobile platform comprises one "end” while the server comprises the opposing "end .
  • these prior art approaches seek to indirectly determine end-to-end network performance by aggregating numerous disjointed data sources (by measuring, for example, the time it takes for signaling messages to return a response on specific links) from diverse and segmented protocol layers. Such inputs are typically difficult to correlate and calibrate into consistent, understandable, and reliable end-to-end performance indicators.
  • these prior art approaches seek to measure network performance by measuring application content download time. While a useful approach in some application settings, such a methodology cannot reliably parse or factor in the wide-ranging set of variables that can produce large variances in actual mobile network content delay or user perceived speed (many of which may, in fact, have nothing to do with network performance per se).
  • these prior art approaches employ simulated users. These simulated users inject simulated traffic into the network with the monitored results serving as the basis for metricizing network performance. This simulated and sampled activity, however, again often fails to truly represent the actual user experience.
  • FIG. 1 comprises a flow diagram as configured in accordance with various embodiments of the invention
  • FIG. 2 comprises a block diagram as configured in accordance with various embodiments of the invention.
  • FIG. 3 comprises a block diagram as configured in accordance with various embodiments of the invention.
  • FIG. 4 comprises a block diagram as configured in accordance with various embodiments of the invention.
  • FIG. 5 comprises a flow diagram as configured in accordance with various embodiments of the invention.
  • FIG. 6 comprises a flow diagram as configured in accordance with various embodiments of the invention.
  • FIG. 7 comprises a flow diagram as configured in accordance with various embodiments of the invention.
  • these teachings provide for facilitating the automatic assessment of ordinary end-to-end performance of a mobile data network. This generally comprises receiving packets as comprise a packet stream for the data network and then identifying the packets that comprise mobile session data packets that relate to TCP-based end-to-end measurements for at least one selected delivery component (such as, for example, a given cell, cell site, network element, interface card, router, switch or the like as comprises a relevant constituent component of the network). For each of at least substantially all of the selected mobile session data packets, these teachings then provide for automatically determining a plurality of TCP parameters and using those TCP parameters to develop corresponding end-to-end mobile data network measurements. Those measurements can then be stored and, if desired, processed to provide aggregated measurements as regards end-to-end mobile data network performance as pertains to the plurality of selected mobile session data packets.
  • a selected delivery component such as, for example, a given cell, cell site, network element, interface card, router, switch or the like as comprises a relevant constituent component of the network
  • TCP layer is the most prevalent transport layer that ensures reliable end-to-end delivery of data between, for example, a mobile platform and a counterpart server.
  • TCP behavior in terms, for example, of retransmissions, congestion, latency, and throughput
  • these teachings significantly leverage TCP behavior metrics to effectively measure end-to-end performance.
  • This same monitoring can also facilitate discovering TCP bottlenecks as correspond to particular service delivery components that comprise the TCP end-to-end path.
  • identifying the packets that comprise mobile session data packets that relate to TCP-based end-to-end measurements for at least one selected delivery component can comprise segregating, for each such selected delivery component, the mobile session data packets from the packets from both non-mobile sessions and mobile session signaling packets. This can further comprise using mobile session identifiers as correspond to the selected mobile session data packets to obtain mobile session and TCP connection context information.
  • the aforementioned determination of TCP parameters can comprise using such mobile session and TCP connection context information to derive measurements for one or more of (and in some settings all of) TCP connection setup round-trip time, TCP data packet round- trip time, TCP retransmission ratio information, and TCP congestion events.
  • TCP connection setup round-trip time TCP data packet round- trip time
  • TCP retransmission ratio information TCP congestion events.
  • TCP congestion events TCP congestion events.
  • this teachings will also accommodate providing aggregated measurements as pertain to these findings.
  • this can comprise providing an aggregated measurement as regards user session TCP end-to-end performance and/or as regards service delivery component TCP end-to-end performance.
  • these teachings are able to utilize connection tracking, state and event-based measurements, and bottom-up correlation of network performance and user quality of experience to permit development of an accurate, consistent, and cost-effective indication of end-to-end network and user experience quality.
  • These results are achievable using only a single point of network operability (i.e., a single link) as versus aggregations of diverse and disjointed link performance indicators from multiple links within the network.
  • These teachings are particularly useful when that single link comprises a most-aggregated point of the network (such as a link that is functionally close or adjacent to the network's gateway).
  • TCP end-to-end packet latency By using TCP end-to-end packet latency in some application settings, as versus application content latency as tends to characterize many prior art approaches, these teachings yield performance metrics that tend to be considerably more valid and useful.
  • Application content latency often fails to provide meaningful results because there is nothing standardized to measure. This being so, thousands of applications all running application extensions on other servers virtually represent an unmanageable challenge. Packets are the standardized lowest common denominator that allows for statistical analysis to isolate outliers. More particularly, TCP is the end-to-end transport layer for the application and the ability to monitor the underlying transport for the application provides more general, straightforward, and granular metrics than, for example, individual application layer monitoring. A similar benefit attains from using a large sample of live traffic rather than a limited sample of simulated traffic.
  • this process 100 serves to facilitate automatically assessing ordinary end-to-end performance of a mobile data network.
  • This process 100 can itself be carried out via a corresponding control circuit as described below.
  • this process 100 receives packets as comprise a packet stream for the data network.
  • Packets comprise a well-understood area of practice and endeavor and require no further elaboration here though certain specifics will be presented below where appropriate and for the sake of illustration by example. It is not necessary that this packet stream represent only a single connection or session; in fact, these teachings benefit when this packet stream comprises an aggregation of many such connections/sessions.
  • this packet stream essentially represents essentially the totality of all connections/sessions as are being supported by the network at a given moment in time. Such a packet stream can be often obtained, for example, by tapping into the packet stream as corresponds to the network's gateway.
  • these received packets comprise mirrored packets. Such a practice can avoid unduly interfering with the transit time of the original packets themselves.
  • this step 101 can represent receiving such packets on only a sampled or sporadic basis.
  • these teachings are able to handle essentially all packets as may flow on a continuous basis. In such a case the overall results will typically be better for representing a complete or a nearly-complete view of packet movement through the network.
  • this process 100 identifies the packets (from this packet stream) that comprise mobile session data packets that relate to TCP-based end-to-end measurements for at least one selected delivery component to thereby provide selected mobile session data packets.
  • this step 102 can comprise segregating, for each of the selected delivery components, the mobile session data packets from, for example, non-mobile session packets as well as mobile session signaling packets.
  • the process 100 automatically determines, for each of at least substantially all of the selected mobile session data packets, a plurality of TCP parameters.
  • these teachings will often best serve the desired ends by making such a determination for all of the selected mobile session data packets. That said, a lesser percentage than one hundred percent might serve if there is some reason to provide for such a dispensation.
  • ninety-nine percent of all such packets might be so assessed, or ninety-five percent. In some cases, and possibly depending upon a corresponding required degree of certainty or latitude in these regards, even a lesser amount, such as only eighty percent, might suffice.
  • the particular percentage assessed will often depend to some extent upon the needs and/or opportunities as tend to characterize a given application setting.
  • this determination of TCP parameters can comprise using mobile session identifiers as correspond to each of the selected mobile session data packets to obtain mobile session and TCP connection context information (the latter being well known and understood in the art). More particularly, such mobile session and TCP connection context information can be used by this process 100 to derive corresponding measurements for one or more of:
  • TCP retransmission ratio information [0033] TCP retransmission ratio information; and/or [0034] TCP congestion events.
  • this determination of TCP parameters can (in lieu of the foregoing or in combination therewith) comprise using mobile session identifiers for each of the selected mobile session data packets to determine whether a TCP connection for each of the selected mobile session data packets has been dropped by a mobile unit as corresponds to that mobile session data packet, respectively.
  • this process 100 then uses these TCP parameters to develop corresponding end-to-end mobile data network measurements (such as, for example, an aggregation of measurements as pertain to selected delivery components that comprise the TCP path from one end to the other). Numerous possibilities exist in these regards and a number of specific illustrations examples are provided further below.
  • the process 100 then, at step 105, stores these end-to-end data network measurements.
  • this process 100 can optionally but beneficially, at step 106, process this stored measurements information to provide aggregated measurements as regards end-to-end mobile data network performance as pertains to a plurality of the selected mobile session data packets.
  • this can comprise providing one or more aggregated measurements as regard user session TCP end-to-end performance.
  • this can comprise providing one or more aggregated measurements as regard service delivery component TCP end-to-end performance.
  • This platform 200 comprises a control circuit 201 that operably couples to a network interface 202 and to a memory 203.
  • the network interface 202 serves to receive the aforementioned packet stream.
  • Such network interfaces are well known in the art. The specifics of a particular network interface will of course vary to suit the requirements of a given application setting. This is well within the competency of a skilled practitioner.
  • the memory 203 can comprise a single component as suggested by the illustration or can comprise a plurality of components (in which case the illustration can be viewed as presenting a logical depiction of the platform). In the latter case the memory 203 can be comprised of discrete memory components that are all local to the platform or where some or all of the memory components can be located remotely from the platform, as desired. Such architectural options are well understood in the art.
  • the control circuit 201 itself can comprise a fixed-purpose (even hard- wired) platform or can comprise a partially or wholly-programmable platform as desired. In any case, the control circuit 201 is configured to carry out one or more of the steps, actions, and/or functions described herein as desired.
  • Such an apparatus 200 may be comprised of a plurality of physically distinct elements as is suggested by the illustration shown in FIG. 2. It is also possible, however, to view this illustration as comprising a logical view, in which case one or more of these elements can be enabled and realized via a shared platform. It will also be understood that such a shared platform may comprise a wholly or at least partially programmable platform as are known in the art.
  • the aforementioned control circuit 202 can include a mobile data session and TCP connection manager 302, a mobile data session TCP end-to-end measurement generator 308, a user session TCP end-to-end performance indicator aggregator 313, and a service delivery component TCP end-to-end performance indicator aggregator 314.
  • the mobile data session and TCP connection manager 302 receives the aforementioned mobile data network packet stream 301 and processes those incoming packets (for at least a given reporting interval of each mobile data session and its corresponding TCP connections) on a per-mobile-data-session basis.
  • FIG. 4 provides a more detailed view of the functionality of the mobile data session and TCP connection manager 302.
  • a mobile packet inspector 402 receives the incoming mobile data network packet stream 301 and inspects this stream in order to separate the packets into two categories; non-mobile session packets (which are automatically discarded 304) and mobile session packets. The latter are routed to a mobile session manager 402.
  • the mobile session manager 402 tracks mobile user session states and events.
  • each mobile session context can include the mobile session context states (regarding, for example, context creation and deletion), events (regarding, for example, context updates), and the context traffic characteristics (regarding, for example, data volumes, context duration, context air time, and so forth).
  • the mobile session manager 402 then forwards only the mobile session data packets to a TCP connection manager 403 while discarding any mobile session signaling packets.
  • the TCP connection manager 403 processes the mobile session data packets to track and manage the TCP end-to-end connections and cross-reference these with the mobile session context real-time database 405.
  • the TCP connection manager 403 then passes the mobile session data packets as the output 307 to TCP connection manager 302 and the mobile session and TCP connection contexts as the output 305 to Mobile session and TCP connection contexts database 306.
  • the aforementioned mobile session TCP end-to-end measurement generator 308 receives that output 307 of the mobile data session and TCP connection manager 302. Generally speaking, the measurement generator 308 accesses the mobile session and corresponding TCP connection contexts 309 and processes the mobile session data packets to produce user session and corresponding TCP end-to-end measurements 311 as its output. This measurement generator 308 then eventually discards 304 these packets 310 subsequent to this processing activity.
  • this process 500 determines 501 whether the packet relates to one or more TCP end-to-end measurements of interest. When false, the packet is discarded 502. When true, the process 500 then obtains 503 the mobile session identifier from the packet's mobile session layer. The process 500 then uses this mobile session identifier to fetch 504 the mobile session and TCP connection contexts from the aforementioned mobile session and TCP connection contexts database 306.
  • These informational elements i.e., the mobile session data packet, the mobile session context, and the TCP connection context
  • this includes measuring 506 TCP connection set-up round-trip time, measuring 507 TCP data packet round-trip time, measuring 508 the TCP retransmission ratio, measuring 509 the number of TCP congestion events, and checking 510 whether the TCP connection has been dropped at the mobile platform.
  • a user session TCP end-to-end performance indicator aggregator 313 receives the aforementioned output 311. Generally speaking, this aggregator 313 takes the user session and corresponding TCP end-to-end measurements and cross references this information to a network topology database 315 to produce user session records and their corresponding TCP end-to-end performance indicators 316. The latter, which include the end-to- end network topology path as corresponds to the relevant user session, are then saved in a user session key performance indicator database 317.
  • the mobile session measurements and the corresponding TCP end-to-end measurements 311 are received, and this process 600 aggregates 601, for each user's data session, the periodic user mobile data session control plane measurements into state and event- based user session records.
  • this comprises delineating the user session into sub-session records by states or events as pertain to the user's mobile activity (such as, by way of example, session volume and/or duration, user mobility (such as hand-off from one network element to another network element)).
  • This process 600 then reads 602 in the network topology 603 and uses that information to derive the user session's service delivery components (such as, for example, handset type or network elements, switches, routers, line cards, or the like that are in relevant play). This information, in turn, is included in each of the aforementioned user sub-session records.
  • the user session's service delivery components such as, for example, handset type or network elements, switches, routers, line cards, or the like that are in relevant play. This information, in turn, is included in each of the aforementioned user sub-session records.
  • This process 600 then undertakes 604 a number of calculations and/or aggregation activities.
  • these undertakings 604 include (but are not limited to):
  • This process 600 then saves 610 the mobile user's sub-session records and their corresponding TCP end-to-end key performance indicators to a temporary data storage 512. Then-current active mobile user sub-session records and their corresponding TCP end-to-end key performance indicators are then read and outputted 611 as the user session TCP end-to-end performance indicator aggregator 313 output 316. By one approach this can be done on a periodic basis (such as every five minutes or so). By one approach, this step 611 can further provide for outputting sub-session records for terminated user sessions as well, following which their last sub-session records are deleted from the temporary data storage 512. [0061] Referring again to FIG.
  • a service delivery component TCP end-to-end performance indicator aggregator 314 also receives the aforementioned user session and corresponding TCP end-to-end measurements 31 1. Generally speaking, this aggregator 314 also cross references to the network topology database 315 and produces service delivery component records and corresponding TCP end-to-end key performance indicators 318 that are stored in a service delivery component key performance indicator database 319.
  • the service delivery component TCP end-to-end performance indicator aggregator 314 will be provided.
  • the mobile session measurements and the corresponding TCP end-to- end measurements 311 are received, and this process 700 periodically (for example, every five minutes) extracts 701 all service delivery components (such as handset type, serving cell, serving cell site, network element(s), router(s), switches(s), and so forth) from the user session's measurements.
  • service delivery components such as handset type, serving cell, serving cell site, network element(s), router(s), switches(s), and so forth
  • This process 700 then reads 702 in the network topology 603 and uses that information to derive additional service delivery components (such as, for example, handset type names, cell and cell site names, network element names, network element line card names, and the switches and routers that are in the user's data session path) from each user data session measurement.
  • additional service delivery components such as, for example, handset type names, cell and cell site names, network element names, network element line card names, and the switches and routers that are in the user's data session path
  • a number of calculation and aggregation activities 703 are then carried out. In this illustrative example, these include:
  • results are then save 709 to a corresponding temporary data store 710 on an occasional basis.
  • This can comprise a regular, periodic basis (such as, for example, every five minutes).
  • this information regarding current per-service delivery component records and their corresponding TCP end-to- end key performance indicators are output 71 1 from the aforementioned storage 710 and provided as the aforementioned output 318 of this aggregator 314.
  • This step can further include, if desired, deleting the outputted records from the temporary data store 710.
  • these teachings will readily accommodate leveraging the TCP E2E protocol when monitoring a mobile network.
  • these teachings will permit E2E monitoring at a single point within such a network via the packets of the TCP E2E protocol. This, in turn, permits aggregating the TCP E2E protocol measurements from all user data sessions into user session E2E performance indicators and aggregating the TCP E2E protocol measurements from all user data sessions and mobile network topology data into mobile network service delivery component E2E performance indicators.
  • these teachings provide a unique and effective way to gain unprecedented visibility regarding network performance and the user's data session quality with a high degree of consistency and accuracy.
  • These teachings can be readily deployed in conjunction with many legacy networks and hence can serve to greatly leverage the presence of such existing systems while also serving to facilitate the future viability of such systems.
  • These teachings are also highly scalable and can be successfully employed with a wide variety of networks of varying sizes and complexity and in conjunction with a wide variety of service delivery components.

Abstract

Ces enseignements sont fournis pour faciliter l'estimation automatique de performance d'extrémité à extrémité ordinaire d'un réseau de données mobile. Ceux-ci consistent généralement à recevoir (101) des paquets tels que comprenant un flux continu de paquets pour le réseau de données et ensuite identifier (102) les paquets qui comprennent des paquets de données de session mobile qui concernent des mesures d'extrémité à extrémité basées sur TCP pour au moins un composant de distribution sélectionné. Pour chacun des paquets de données de session mobile sélectionnés, ces enseignements permettent ensuite la détermination automatique (103) d'une pluralité de paramètres TCP et l'utilisation (104) de ces paramètres TCP pour développer des mesures de réseau de données mobile d'extrémité à extrémité correspondantes. Ces mesures peuvent ensuite être mémorisées (105) et, si on le souhaite, traitées (106) pour fournir des mesures agrégées concernant à la fois la performance d'extrémité à extrémité de session mobile d'utilisateur et la performance de réseau de données mobile d'extrémité à extrémité par rapport à la pluralité de paquets de données de session mobile sélectionnés.
PCT/US2010/027941 2010-03-19 2010-03-19 Procédé et appareil d'estimation de performance d'extrémité à extrémité ordinaire d'un réseau de données mobile WO2011115625A1 (fr)

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KR20230111017A (ko) * 2022-01-17 2023-07-25 한국전력공사 직류전송시스템의 탭 변환 제어 장치 및 mmc를 위한 탭 변환 신호 생성 장치
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