CN106658559A - Mobile service quality maintaining method based on context prediction - Google Patents

Mobile service quality maintaining method based on context prediction Download PDF

Info

Publication number
CN106658559A
CN106658559A CN201610987484.2A CN201610987484A CN106658559A CN 106658559 A CN106658559 A CN 106658559A CN 201610987484 A CN201610987484 A CN 201610987484A CN 106658559 A CN106658559 A CN 106658559A
Authority
CN
China
Prior art keywords
service
node
information
backup
session
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
CN201610987484.2A
Other languages
Chinese (zh)
Other versions
CN106658559B (en
Inventor
黄松华
赵靖
钱宁
张兆晨
丁峰
梁维泰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CETC 28 Research Institute
Original Assignee
CETC 28 Research Institute
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 CETC 28 Research Institute filed Critical CETC 28 Research Institute
Priority to CN201610987484.2A priority Critical patent/CN106658559B/en
Publication of CN106658559A publication Critical patent/CN106658559A/en
Application granted granted Critical
Publication of CN106658559B publication Critical patent/CN106658559B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5041Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
    • H04L41/5051Service on demand, e.g. definition and deployment of services in real time
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/14Session management
    • 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
    • H04L67/51Discovery or management thereof, e.g. service location protocol [SLP] or web services
    • 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
    • H04L67/60Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • H04L67/61Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources taking into account QoS or priority requirements

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a mobile service quality maintaining method based on context prediction. According to the method, the following parts are provided: a mobile service access model based on session state increment backup and periodic response, a session active switching model based on context prediction and service quality available thresholds (network thresholds and calculation thresholds), and a session self-adaptive quick restoring mechanism based on scenes. The advantages of the method are that the service disaster tolerance capability, service quality stability and development trend are taken into full consideration, continuity of sessions is ensured through transparent and quick switching, the service availability problem of a conventional mobile communication environment is solved, and services can extend into mobile environments.

Description

A kind of Mobile QoS keeping method based on context-prediction
Technical field
The present invention relates to Information Mobile Service support technology field, more particularly to a kind of Information Mobile Service matter based on context-prediction Amount keeping method, can be used to personal and vehicle-mounted, airborne, Shipborne Network and provides in moving process continue reliable information service.
Background technology
Under fast changing mobile environment, as shown in figure 1, edge customer is due to itself individually obtaining the ability ratio of information It is weaker, it is badly in need of reliable information service guarantee.Edge customer can be linked into fixed Centroid or Information Mobile Service node is obtained Take service.Wherein, Centroid realizes management, the request of service and the end of Information Mobile Service node as the registration side of service, And provide the function such as search function of service to service user;Information Mobile Service node is mainly used in obtaining real time data, in After heart Node registry and provide a user with corresponding service;Service user as service consumer, according to Information Mobile Service node The information on services of offer completes corresponding task.
There is network transmission quality fluctuation, server load and lose in existing Information Mobile Service node in service process is provided Service quality problem and the networks such as weighing apparatus cannot be accessed, server is delayed, and machine etc. services unavailable problem, itself and Centroid or service Link between user often off and on, causes the packet loss of data and repeating transmission in communication process, has had a strong impact on service Availability.Under complicated movement environment, how to process the service availability problem of existing wireless communications equipment has become one Important topic.
The effective acquisition of information service under in order to support mobile environment, Chinese scholars have carried out the research of many correlations and have set Meter, summarizing their thinkings of design can be summarized as two ways.First kind of way is directly to lift the communication of wireless device itself Ability, its particularity for being directed to mobile environment is redesigned and improved to basic communication protocol stack, and main method includes increasing Plus communication bandwidth, using Information Compression algorithm, improve modulation coding mode, design highly reliable Routing Protocol and transport layer protocol Deng.The second way is based on the lifting that service software self-ability is carried out on the basis of Wireless Telecom Equipment existing force, master Method is wanted to include increasing session holding technology, improve publish/subscribe service model, service data migration and mobile communication agency Deng.Wherein session keeps technology that the method for server cluster is usually used to realize that load balancing and session keep.Use tomcat Do load cluster, the integrated multiple servers of server end, the session of each user is carried out session stick and session replication.It is viscous glutinous to the user profile first when client sends user access request Web server send access request, if judging the current server for unavailable, transfer to other servers transmission user Access request.By this method, it can be ensured that when a certain server delays machine, also can realize using by another server Family session keeps.
This two ways can effectively improve upper layer application service ability in a mobile environment, but first kind of way can only For designing new Wireless Telecom Equipment, the equipment to having existed in system cannot start effective castering action, and it is not only The illegal different demands for meeting types of applications service due to a lack of necessary flexibility, and it is simultaneous with the existing equipment presence in system Capacitive problem.And existing session keeps technical scheme to have compared with strong assumption and more strict environmental requirement, realize that session is answered The Information Mobile Service node of system need to be configured with trunking mode organization of unity and managed, and lack flexibility, it is impossible to be completely suitable for clothes Business disposition flexibility has the specific application area of high requirement.
The content of the invention
Goal of the invention:In order to realize the Information Mobile Service quality of the conversation security problem under non-clustered environment, realize that user exists Service will in the case of inaccessible conversation procedure continuity, currently invention addresses in the communication capacity of existing mobile device, leading to Cross proposition a kind of based on Mobile QoS keeping method, service optimization method of the design with versatility.
Technical scheme:Mobile QoS keeping method based on context-prediction of the present invention includes:
(1) Information Mobile Service initialization:Information Mobile Service node is to Centroid registration service type, Service Properties, and dynamic Update service status information;Centroid Dynamic Maintenance services index information and service status information;
(2) Information Mobile Service inquiry:Active when service user needs service proposes service request, Centroid to Centroid According to service request, optimum Information Mobile Service node listing is selected, recommended to service user;
(3) Information Mobile Service is accessed:Service user selects optimum Information Mobile Service node as service master from the list recommended Node conversates, and service host node selects Backup service node, and implements meeting to the Backup service node and Centroid Words are replicated or state increment updates;
(4) Information Mobile Service actively switches:When the network index or computing capability of Backup service node decline or fluctuate, clothes Business host node triggering context-prediction process, when the availability of subsequent time is prescribed a time limit less than preset gate, recalculate select it is new Optimal service backup node;When network index, computing capability decline or the fluctuation of host node is serviced, service user triggering is upper and lower Literary prediction process, when the availability of subsequent time is prescribed a time limit less than preset gate, recalculates and selects new optimal service host node, newly Optimal service host node from former service host node copy session state.
Further, step (2) specifically includes step:
Active when service user needs service proposes service request to Centroid, including information requirement, method of service are needed Ask, service ability demand;
Centroid inquires about available Information Mobile Service node according to service request, and the network state to related service and Computing capability is estimated, and selects optimum Information Mobile Service node listing, is recommended to service user.
Further, step (3) specifically includes step:
Service user carries out network evaluation, the service valuation result pair of integrating center node to the Information Mobile Service node recommended Information Mobile Service node is ranked up, and with optimum Information Mobile Service node to service host node, sends service request, that is, initiate session Request is set up, and to service host node recommendation service backup node list;
Service host node is the necessary initialization information of this conversation establishing, and to service user response message is sent, and is set up just Normal session relationship, starts normal conversation procedure, there is provided required information service;
Service host node carries out network evaluation, the service valuation result of integrated services user to the Backup service node recommended Backup service node is chosen, and session information is sent to the Backup service node and Centroid, implement session replication or state Incremental update, while informing service user.
Further, step (3) also includes step:
Backup service node to service host node confirms session replication or incremental update, and periodically sends current service shape State;
Centroid periodically pushes available Information Mobile Service node listing to service user, and service user is to service host node Available service backup node list is periodically pushed, cycle length can carry out self-adaptative adjustment according to service quality stability;
Service user includes the session information of ID, state during service access in local preservation, and with session The propulsion dynamic of journey updates, until conversation end.
Further, step (4) specifically includes step:
When the network index or computing capability of Backup service node decline or fluctuate, service host node triggering context is pre- Survey process, i.e., by the network capacity of Analysis Service backup node, computational load situation, battery pot life and operation rail The contextual information of mark, assessment calculates quality, network quality dynamic trend, adjudicates active predicting by service quality thresholding next The availability of moment Backup service node;
When availability is prescribed a time limit less than preset gate, service host node carries out network state and meter to the Backup service node recommended Capability evaluation is calculated, optimal service backup node is selected and is implemented session replication or state increment renewal, while informing service user;
When network index, computing capability decline or the fluctuation of host node is serviced, service user triggering context-prediction mistake Journey, i.e., by the upper of the network capacity of Analysis Service host node, computational load situation, battery pot life and running orbit Context information, prediction calculates quality and network quality dynamic trend, and by service quality thresholding active predicting subsequent time is adjudicated The availability of service host node;
When availability is prescribed a time limit less than preset gate, service user carries out network state and calculating to the Information Mobile Service node recommended Capability evaluation, is ranked up to Information Mobile Service node, with optimum Information Mobile Service node to service host node, to the new main section of service Point sends service handover request, and informs former conversational services nodal information and new service host node information, new optimal service section Point is from former service node copy session state;New demand servicing host node is from former service node copy session state.
Beneficial effect:Compared with prior art, its remarkable advantage is the present invention:The present invention proposes dialogue-based state increment The Information Mobile Service Access Model of backup and periodic response, based on context-prediction and service quality Availability Threshold (network thresholding, meter Calculate thresholding) session active switching model, by set up based on scene mobile session self adaptation quick restoring mechanism, support use Family completes transparent service handoff procedure when ISP changes, to adapt to mobile environment communication band width and fluctuation, letter The features such as breath demand time-varying, service reliability difference so that user can be switched to available, reliable, stable clothes when moving with transparent Business node, keeps continuity of the service in moving process.
Description of the drawings
Fig. 1 is Information Mobile Service network figure;
Fig. 2 is session mechanism schematic diagram;
Fig. 3 is the flow chart of active switching criterion;
Fig. 4 is context-prediction mechanism schematic diagram;
Fig. 5 is Information Mobile Service model;
Fig. 6 is active switching model.
Specific embodiment
The dialogue-based state duplication of the present embodiment, synchronization, migration and recovery, are perceived by service context, predict kimonos Business switching criterion, devises two class sessions and keeps model, and the normal service being respectively suitable in mobile environment is accessed and Service Quality Amount fluctuation situation.
1st, session mechanism
In mobile environment, there is the Service Qualities such as network transmission quality fluctuation, server load is unbalance, information quality decline Amount problem, the deployment and continuation guarantee for causing various services is difficult to.
For the accessibility of the service of improving, multiple Information Mobile Service nodes can be by scattered arrangement in a mobile network, and this is just Result in service discovery to be synchronously difficult to carry out, therefore Centroid is introduced as service in mobile session keeps with service content Main control unit, for solve service content management with service access the problems such as.As shown in Fig. 2 Information Mobile Service node and service Client carries out service registry and service discovery with Centroid respectively, so as to realize servicing the association at two ends.In the development of service During, services client adjudicates service switching time by network and service-aware, and Information Mobile Service node is backed up by session Conversation shift is realized, the session completed jointly under mobile environment keeps.
2nd, switch determining method
Switch determining method is used to judge whether to need to start the handoff procedure that service-oriented session keeps, including actively cuts Decision method and passive switch determining method are changed, is respectively used to trigger service switching model actively and passively.To keep service Stability and continuity, should try one's best and reduce the switching times of mobile subscriber, therefore in the service quality of former Information Mobile Service node The switching of service node is just moved when reaching not good state.
(1) active switching criterion
Active switching criterion be session keep self-adapting method for judging, including service quality detection, service quality thresholding Judgement and service context-prediction, as shown in Figure 3.Service quality detects the clothes for obtaining Information Mobile Service node to services client Business ability information, and the judgement of service quality thresholding and service context-prediction contribute to service the judgement foundation of switching.
1. service quality detection
Service quality refers to that service disclosure satisfy that user specifies the degree summation with potential demand.In the present embodiment, take Business quality is made up of network delay and service node processing power two parts.Services client and Information Mobile Service in conversation procedure Need periodically to carry out service quality detection between node, including the detection request bag and Information Mobile Service node of services client transmission The test returns bag of transmission, it act as:(1) heartbeat message is provided to Information Mobile Service node for services client, to move Service node continues the session status for safeguarding this client;(2) information in test returns bag can be used for services client to mobile clothes The capability evaluation of business node;(3) detect that the timestamp information included in request bag can be inserted in test returns bag, for network energy The assessment of power.
2. service quality thresholding judgement
The judgement of service quality thresholding is the lowest decision foundation of service dispatch, and it is according to the clothes included in session establishment request The index parameter obtained in business quality threshold parameter, with service quality detection is compared, if service quality now fails to reach To the requirement of service quality thresholding, then the active switching of Access Model is triggered.
3. service context prediction
Service context prediction is for ensureing the continuous another kind effective mechanism of service, its essence is Information Mobile Service node This Information Mobile Service node service quality thereafter is predicted according to the service quality of current Information Mobile Service node.If predicting this Service quality afterwards may not meet service request, then trigger the active switching of Access Model.Service context Predicting Technique Realized mainly according to the variation tendency of service quality.As shown in figure 4, comprising the following steps that:Service quality is examined The network delay and disposal ability for obtaining is surveyed, its Trendline formula is calculated respectively;According to Trendline derivative calculations next cycle Prediction time delay value;If prediction time delay value is higher than time delay thresholding, triggering actively switches.
(2) passive switching criterion
During session, when the accident such as the change of mobile network's topology or Information Mobile Service node failure occurs, The session request of services client can be caused to respond or service quality detection failure, passive switching criterion is mainly used in perceiving This kind of failure, so as to trigger the passive switching of Access Model.
3rd, Access Model
Access Model is mainly used in realizing normal access of the client to Information Mobile Service node under mobile environment, supports to access Service continuity under abnormal conditions, its basic thought is service user before service conversation startup, first to each Information Mobile Service section Point ability be estimated with network state, select optimum Information Mobile Service node for it and service be provided, so as to reach reliability and The optimization of service quality;Meanwhile, preserve in suboptimum Information Mobile Service node and Centroid and actively update session status, it is logical The seamless switching (transparent, real-time, complete) of dialogue-based state is crossed, the service fluctuation under mobile environment is solved and Problem of Failure is carried For necessary condition.
As shown in figure 5, described Access Model interaction flow is:
1-1) Information Mobile Service node is to the Centroid service that can provide of registration and periodically updates what it can be provided The status information of service, Centroid more new demand servicing index information;
Active when 1-2) service user needs service proposes service-seeking request to Centroid;
1-3) Centroid finds the service of user's request from corresponding service index, and according to each Information Mobile Service node Service status information (position, disposal ability, stability etc.) carry out service valuation (process can be distributed to be carried out, so will not Increase the time overhead of service access);
1-4) Centroid makees the list of Information Mobile Service nodes recommendations and service valuation information that can provide the service For response, service user is replied;
1-5) service user carries out network evaluation (propagation delay time, packet loss etc.) to the Information Mobile Service node recommended, comprehensive Service valuation result is ranked up to Information Mobile Service node, and respectively services host node kimonos with optimum and suboptimum service node Business backup node (because network evaluation need to consume the response time of several seconds, can be saved in the access process of delay sensitive service Slightly);
1-6) service user sends service request to service host node, that is, initiate the foundation request of session, and informs conduct The suboptimum service node information of Backup service node;
It is the necessary session information of this conversation establishing 1-7) to service host node;
1-8) service host node and send response message to service user, so as to set up normal session relationship, and carry out just Normal conversation procedure;
Host node 1-9) is serviced with the full backup node that Backup service node is this conversation procedure, each session status Modification information can all be sent on Backup service node and backup;Service user preserves the local cookie of session, and with meeting The change of words process and update, until conversation end;
1-10) service host node also can be saved in Centroid the principal states of session, to realize active and standby Information Mobile Service Session status node fails simultaneously when keeps.
Based on the Access Model of mobile session, the service of optimal quality can be provided to service user, and realize servicing meeting The active backup of speech phase, is to keep service quality fluctuation and service burst under solution mobile environment to fail this by mobile session Two kinds of problems provide support.
4th, active switching model
Active switching model be used for solve under shift(ing) ring due to network transmission quality fluctuation, server load is unbalance decline etc. Caused service quality problem, its main thought is when service user finds the clothes of former Information Mobile Service node by context-prediction When being engaged in not reaching expected requirement, the comprehensive assessment process to Information Mobile Service node is initiated again, and conversation procedure is cut Change on new Information Mobile Service node, realize the holding of session and the continuity of service.
As shown in fig. 6, described active switching model interaction flow is:
2-1) during session, service user is accused according to the contextual information or server obtained from conversation procedure Alarming information predicts the state of Information Mobile Service node, and periodically it is estimated, if judgement finds former Information Mobile Service node Service ability it is unstable, when and cannot meet or will be unable to meet business demand, then start service preferentially handoff functionality;
2-2)~2-5) the step of as described in the Access Model that mobile session keeps;
2-6) service user sends service handover request to new optimum Information Mobile Service node, and informs former session movement clothes Business nodal information and new optimum Information Mobile Service nodal information;
2-7) new optimum Information Mobile Service node is from former Information Mobile Service node copy session state;
2-8)~2-10) the step of as described in the Access Model that mobile session keeps;In step 2-9) implementation procedure in, If Information Mobile Service node as find backup services node there is Problem of Failure, in step 2-8) and 2-10) in entrainment backup section Point list updates request, and the result for comprehensively returning, and selects optimum backup services node.
Based on the active switching model of mobile session, can fluctuate in the service quality of former Information Mobile Service node, cause When preventing its service ability discontinuity from meeting customer need or will meet customer need, provide new to service user Optimum Information Mobile Service node, realizes the active switching of service conversation, solves service quality fluctuation problem under mobile environment.
Above disclosed is only a kind of preferred embodiment of the invention, it is impossible to the right model of the present invention is limited with this Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.

Claims (5)

1. a kind of Mobile QoS keeping method based on context-prediction, it is characterised in that the method includes:
(1) Information Mobile Service initialization:Information Mobile Service node is to Centroid registration service type, Service Properties, and dynamic updates Service status information;Centroid Dynamic Maintenance services index information and service status information;
(2) Information Mobile Service inquiry:Actively to Centroid propose service request when service user needs service, Centroid according to Service request, selects optimum Information Mobile Service node listing, is recommended to service user;
(3) Information Mobile Service is accessed:Service user selects optimum Information Mobile Service node as service host node from the list recommended Conversate, service host node selects Backup service node, and implement session to the Backup service node and Centroid and answer System or state increment update;
(4) Information Mobile Service actively switches:When the network index or computing capability of Backup service node decline or fluctuate, service master Node triggers context-prediction process, when the availability of subsequent time is prescribed a time limit less than preset gate, recalculates and selects new optimum Backup service node;When network index, computing capability decline or the fluctuation of host node is serviced, service user triggering context is pre- Survey process, when the availability of subsequent time is prescribed a time limit less than preset gate, recalculates and selects new optimal service host node, it is new most Excellent service host node is from former service host node copy session state.
2. the Mobile QoS keeping method based on context-prediction according to claim 1, it is characterised in that:Step (2) step is specifically included:
Active when service user needs service proposes service request, including information requirement, method of service demand, clothes to Centroid Business ability need;
Centroid inquires about available Information Mobile Service node, and the network state to related service and calculating according to service request Ability is estimated, and selects optimum Information Mobile Service node listing, is recommended to service user.
3. the Mobile QoS keeping method based on context-prediction according to claim 1, it is characterised in that:Step (3) step is specifically included:
Service user carries out network evaluation to the Information Mobile Service node recommended, and the service valuation result of integrating center node is to movement Service node is ranked up, and with optimum Information Mobile Service node to service host node, sends service request, that is, initiate the foundation of session Request, and to service host node recommendation service backup node list;
Service host node is the necessary initialization information of this conversation establishing, and to service user response message is sent, and sets up normal Session relationship, starts normal conversation procedure, there is provided required information service;
Service host node carries out network evaluation to the Backup service node recommended, and the service valuation result of integrated services user is chosen Backup service node, and session information is sent to the Backup service node and Centroid, implement session replication or state increment Update, while informing service user.
4. the Mobile QoS keeping method based on context-prediction according to claim 3, it is characterised in that:Step (3) step is also included:
Backup service node to service host node confirms session replication or incremental update, and periodically sends current service status;
Centroid periodically pushes available Information Mobile Service node listing to service user, and service user is to service host node cycle Property push available service backup node list, cycle length can carry out self-adaptative adjustment according to service quality stability;
Service user includes the session information of ID, state during service access in local preservation, and with conversation procedure Propulsion dynamic updates, until conversation end.
5. the Mobile QoS keeping method based on context-prediction according to claim 1, it is characterised in that:Step (4) step is specifically included:
When the network index or computing capability of Backup service node decline or fluctuate, service host node triggering context-prediction mistake Journey, i.e., by the network capacity of Analysis Service backup node, computational load situation, battery pot life and running orbit Contextual information, assessment calculates quality, network quality dynamic trend, and by service quality thresholding active predicting subsequent time is adjudicated The availability of Backup service node;
When availability is prescribed a time limit less than preset gate, servicing host node carries out network state to the Backup service node recommended and calculates energy Force estimation, selects optimal service backup node and implements session replication or state increment renewal, while informing service user;
When network index, computing capability decline or the fluctuation of host node is serviced, service user triggering context-prediction process, i.e., By the context of the network capacity of Analysis Service host node, computational load situation, battery pot life and running orbit Information, prediction calculates quality and network quality dynamic trend, and by service quality thresholding the service of active predicting subsequent time is adjudicated The availability of host node;
When availability is prescribed a time limit less than preset gate, service user carries out network state and computing capability to the Information Mobile Service node recommended Assessment, is ranked up to Information Mobile Service node, with optimum Information Mobile Service node to service host node, sends out to new service host node Take business handover request, and inform former conversational services nodal information and new service host node information, new optimal service node from Former service node copy session state;New demand servicing host node is from former service node copy session state.
CN201610987484.2A 2016-11-10 2016-11-10 A kind of Mobile QoS keeping method based on context-prediction Active CN106658559B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610987484.2A CN106658559B (en) 2016-11-10 2016-11-10 A kind of Mobile QoS keeping method based on context-prediction

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610987484.2A CN106658559B (en) 2016-11-10 2016-11-10 A kind of Mobile QoS keeping method based on context-prediction

Publications (2)

Publication Number Publication Date
CN106658559A true CN106658559A (en) 2017-05-10
CN106658559B CN106658559B (en) 2019-07-12

Family

ID=58805621

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610987484.2A Active CN106658559B (en) 2016-11-10 2016-11-10 A kind of Mobile QoS keeping method based on context-prediction

Country Status (1)

Country Link
CN (1) CN106658559B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107705037A (en) * 2017-10-26 2018-02-16 山东大学 A kind of QoX quality systems system and its method of work towards contextual information processing
CN109344328A (en) * 2018-09-21 2019-02-15 百度在线网络技术(北京)有限公司 Obtain the method and device of recommender system best parameter group
CN110708179A (en) * 2018-07-10 2020-01-17 福建省天奕网络科技有限公司 Block chain-based data communication bridging method and storage medium
CN110740073A (en) * 2018-07-20 2020-01-31 阿里巴巴集团控股有限公司 Service level calculation method, device and system
CN112956171A (en) * 2018-09-19 2021-06-11 思杰系统有限公司 System and method for maintaining and transmitting SAAS session state

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103023860A (en) * 2011-09-23 2013-04-03 联芯科技有限公司 Method for maintaining information management system (IMS) multimedia streaming session continuity and related network element
CN103493433A (en) * 2011-04-18 2014-01-01 瑞典爱立信有限公司 Method and apparatus for quality of service monitoring of services in a communication network
US20140148210A1 (en) * 2004-11-23 2014-05-29 Kodiak Networks, Inc. Method and framework to detect service users in an insufficient wireless radio coverage network and to improve a service delivery experience by guaranteed presence
CN104243527A (en) * 2013-06-20 2014-12-24 华为技术有限公司 Data synchronization method and device and distributed system
CN104584628A (en) * 2012-08-31 2015-04-29 高通股份有限公司 Adjustment to quality of service based on predicted traffic activity on a link

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140148210A1 (en) * 2004-11-23 2014-05-29 Kodiak Networks, Inc. Method and framework to detect service users in an insufficient wireless radio coverage network and to improve a service delivery experience by guaranteed presence
CN103493433A (en) * 2011-04-18 2014-01-01 瑞典爱立信有限公司 Method and apparatus for quality of service monitoring of services in a communication network
CN103023860A (en) * 2011-09-23 2013-04-03 联芯科技有限公司 Method for maintaining information management system (IMS) multimedia streaming session continuity and related network element
CN104584628A (en) * 2012-08-31 2015-04-29 高通股份有限公司 Adjustment to quality of service based on predicted traffic activity on a link
CN104243527A (en) * 2013-06-20 2014-12-24 华为技术有限公司 Data synchronization method and device and distributed system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107705037A (en) * 2017-10-26 2018-02-16 山东大学 A kind of QoX quality systems system and its method of work towards contextual information processing
CN107705037B (en) * 2017-10-26 2021-03-19 山东大学 QoX quality system facing context information processing and working method thereof
CN110708179A (en) * 2018-07-10 2020-01-17 福建省天奕网络科技有限公司 Block chain-based data communication bridging method and storage medium
CN110740073A (en) * 2018-07-20 2020-01-31 阿里巴巴集团控股有限公司 Service level calculation method, device and system
CN112956171A (en) * 2018-09-19 2021-06-11 思杰系统有限公司 System and method for maintaining and transmitting SAAS session state
CN109344328A (en) * 2018-09-21 2019-02-15 百度在线网络技术(北京)有限公司 Obtain the method and device of recommender system best parameter group
CN109344328B (en) * 2018-09-21 2021-01-05 百度在线网络技术(北京)有限公司 Method and device for obtaining optimal parameter combination of recommendation system

Also Published As

Publication number Publication date
CN106658559B (en) 2019-07-12

Similar Documents

Publication Publication Date Title
CN106658559A (en) Mobile service quality maintaining method based on context prediction
KR101467138B1 (en) System and method for session resiliancy at geo-redundant gateways
US8046429B2 (en) Service mobility for composed components
CN109379774A (en) Intelligent dispatching method, terminal device, fringe node cluster and intelligent dispatching system
CN107306205B (en) Method, telecommunication network, arrangement and storage medium for improving the handling of network communications
US20110235505A1 (en) Efficient deployment of mobility management entity (MME) with stateful geo-redundancy
CN101651608B (en) Link management method, corresponding management entity, execution node and mobile communication system
US20150142958A1 (en) Control node and communication control method
EP2887720B1 (en) Resource allocation method and device
CN106603261B (en) Hot backup method, first main device, standby device and communication system
WO2008099133A1 (en) Handover of wireless connections
CN107276839B (en) Self-monitoring method and system of cloud platform
US20200153702A1 (en) Methods and network nodes enabling a content delivery network to handle unexpected surges of traffic
CN104717077A (en) Data center management method, device and system
CN105580316A (en) Apparatus and method for monitoring network performance
CN103379516B (en) Caching device, cache control device and the method for detection switching
CN107968747A (en) A kind of path adjustment management method and device, communication system
US9843491B2 (en) Network element in network management system, network management system, and network management method
CN107872822B (en) Service bearing method and device
CN112771931B (en) Method for managing network traffic in a telecommunications network and telecommunications network for managing network traffic
CN111953808A (en) Data transmission switching method of dual-machine dual-active architecture and architecture construction system
Ramanathan et al. Performance evaluation of two service recovery strategies in cloud-native radio access networks
WO2023274730A2 (en) Network resilience
CN114301763A (en) Distributed cluster fault processing method and system, electronic device and storage medium
CN114697195A (en) Fault processing method, transmission path adjusting method, network element and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant