1、 ETSI TR 1Universal Mobile TelService requirements f(3GPP TR 22.9TECHNICAL REPORT 122 985 V13.0.0 (2016elecommunications System (s for the User Data Convergen.985 version 13.0.0 Release 1316-01) (UMTS); ence (UDC) 13) ETSI ETSI TR 122 985 V13.0.0 (2016-01)13GPP TR 22.985 version 13.0.0 Release 13Ref
2、erence RTR/TSGS-0122985vd00 Keywords UMTS ETSI 650 Route des Lucioles F-06921 Sophia Antipolis Cedex - FRANCE Tel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16 Siret N 348 623 562 00017 - NAF 742 C Association but non lucratif enregistre la Sous-Prfecture de Grasse (06) N 7803/88 Important notice The p
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8、 of its Members. 3GPPTM and LTE are Trade Marks of ETSI registered for the benefit of its Members and of the 3GPP Organizational Partners. GSM and the GSM logo are Trade Marks registered and owned by the GSM Association. ETSI ETSI TR 122 985 V13.0.0 (2016-01)23GPP TR 22.985 version 13.0.0 Release 13
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11、s, has been carried out by ETSI. No guarantee can be given as to the existence of other IPRs not referenced in ETSI SR 000 314 (or the updates on the ETSI Web server) which are, or may be, or may become, essential to the present document. Foreword This Technical Report (TR) has been produced by ETSI
12、 3rd Generation Partnership Project (3GPP). The present document may refer to technical specifications or reports using their 3GPP identities, UMTS identities or GSM identities. These should be interpreted as being references to the corresponding ETSI deliverables. The cross reference between GSM, U
13、MTS, 3GPP and ETSI identities can be found under http:/webapp.etsi.org/key/queryform.asp. Modal verbs terminology In the present document “shall“, “shall not“, “should“, “should not“, “may“, “need not“, “will“, “will not“, “can“ and “cannot“ are to be interpreted as described in clause 3.2 of the ET
14、SI Drafting Rules (Verbal forms for the expression of provisions). “must“ and “must not“ are NOT allowed in ETSI deliverables except when used in direct citation. ETSI ETSI TR 122 985 V13.0.0 (2016-01)33GPP TR 22.985 version 13.0.0 Release 13Contents Intellectual Property Rights 2g3Foreword . 2g3Mod
15、al verbs terminology 2g3Foreword . 4g31 Scope 5g32 References 5g33 Definitions, symbols and abbreviations . 5g33.1 Definitions 5g33.2 Symbols 5g33.3 Abbreviations . 5g34 General description. 6g34.1 Introduction 6g35 User Data 8g35.1 User data basic concept 8g35.2 User data category 8g35.2.1 Introduc
16、tion. 8g35.2.2 User Subscription Data . 8g35.2.3 User content Data . 8g35.2.4 User Behaviour Data . 9g35.2.5 User Status Data . 9g35.3 User data convergence 9g35.4 Common baseline information model and data model . 10g35.4.1 Introduction to User Data Modelling 10g35.4.2 Requirements for the baseline
17、 information model 11g35.4.3 Requirement for data models 11g35.4.4 Management of information model and data model . 11g36 Requirement of user data convergence. 13g36.1 Introduction 13g36.2 Redundancy, Scalability and Load control Aspects . 14g36.3 Network Considerations . 14g36.4 User data interface
18、 14g36.5 Subscription/Notification . 14g36.6 Access control 14g36.7 Management of user data . 15g36.7.1 Self care system: . 15g36.7.2 Application server and user service configuration 15g36.8 Data federation . 15g3Annex A: Change history 16g3History 17g3ETSI ETSI TR 122 985 V13.0.0 (2016-01)43GPP TR
19、 22.985 version 13.0.0 Release 13Foreword This Technical Report has been produced by the 3rdGeneration Partnership Project (3GPP). The contents of the present document are subject to continuing work within the TSG and may change following formal TSG approval. Should the TSG modify the contents of th
20、e present document, it will be re-released by the TSG with an identifying change of release date and an increase in version number as follows: Version x.y.z where: x the first digit: 1 presented to TSG for information; 2 presented to TSG for approval; 3 or greater indicates TSG approved document und
21、er change control. y the second digit is incremented for all changes of substance, i.e. technical enhancements, corrections, updates, etc. z the third digit is incremented when editorial only changes have been incorporated in the document. ETSI ETSI TR 122 985 V13.0.0 (2016-01)53GPP TR 22.985 versio
22、n 13.0.0 Release 131 Scope The present document describes the concept of the 3GPP User Data Convergence (UDC). It furthermore collects some architectural requirements and should be taken as guideline in stage 2 and 3 work. The UDC will simplify the overall network topology and interfaces, avoid data
23、 duplication and inconsistency and simplify creation of new services by providing easy access to the user data. Special consideration is put on the following areas: - Categorization of the user data of services which would be converged in UDC - Identification of the requirements on the common data m
24、odel framework with focus on extensibility - Identification of the requirements on the UDC for the support of new services including their provisioning 2 References The following documents contain provisions which, through reference in this text, constitute provisions of the present document. Refere
25、nces are either specific (identified by date of publication, edition number, version number, etc.) or non-specific. For a specific reference, subsequent revisions do not apply. For a non-specific reference, the latest version applies. In the case of a reference to a 3GPP document (including a GSM do
26、cument), a non-specific reference implicitly refers to the latest version of that document in the same Release as the present document. 1 3GPP TR 21.905: “Vocabulary for 3GPP Specifications“. 3 Definitions, symbols and abbreviations 3.1 Definitions 3.2 Symbols 3.3 Abbreviations For the purposes of t
27、he present document, the abbreviations given in TR 21.905 1 and the following apply. An abbreviation defined in the present document takes precedence over the definition of the same abbreviation, if any, in TR 21.905 1. UDC User Data Convergence UDR User Data Repository ETSI ETSI TR 122 985 V13.0.0
28、(2016-01)63GPP TR 22.985 version 13.0.0 Release 134 General description 4.1 Introduction In the current 3GPP system, user data are scattered in several domains (e.g. CS, PS, IMS) and different network entities (e.g. HLR, HSS, Application Servers). With the increase of user data entities and the resu
29、lting data types, it is more difficult for integrated services to access necessary user information from plural entities. The scenario mentioned herein is kind of called “User Data Silo”, which is the major paradigm of user data deployment for the time being, as illustrated by Fig.1. Figure 1 User D
30、ata Silo With the user data silos, user data are independently accessed, stored and managed independently. That brings many challenges to network deployment and evolution. Different user data access interfaces impose complexity on network topology as well as on application development, especially fo
31、r booming Internet services and incoming IP-based UE applications; separated user data increases management workload. Moreover, new networks and services such as IMS are expected, so that the introduction of their user data only makes things worse, not to mention network and service convergence even
32、 if those user data have a lot in common and are correlated to each other. Separation also undermines the value of user data mining. User data convergence is required to ensure the consistency of storage and data models. User data convergence will simplify overall network topology and interfaces, ov
33、ercome the data capacity bottleneck of a single entry point, avoid data duplication and inconsistency and reduce CAPEX and OPEX. Also it will simplify the creation of new services and facilitate service development and deployment though a common set of user data. Finally it will promote service and
34、network convergence to support the increasing number of new services including Internet services and UE applications. In this regard, a new facility User Data Repository (UDR) should be considered for user data convergence. ETSI ETSI TR 122 985 V13.0.0 (2016-01)73GPP TR 22.985 version 13.0.0 Release
35、 13Figure 2 User Data Convergence As illustrated by Fig. 2, User Data Convergence, as opposed to User Data Silo, is simply to move the user data from where it belonged, to a facility here called User Data Repository (UDR) where it can be accessed, stored and managed in a common way. Despite of the d
36、iversity of user data structures for different services, user data can be decomposed and reformed by a common data model framework (e.g. tree-like data model, rational data model) provided by UDR. In that case, user data categorized by services can be regrouped and identified by user ID, leaving no
37、data redundancy. Also, convergence in data model will unify the user data access interface and its protocol, which will promote new service application development. Thereby, the capability of user data convergence can be open to creation of data-less applications. ETSI ETSI TR 122 985 V13.0.0 (2016-
38、01)83GPP TR 22.985 version 13.0.0 Release 135 User Data 5.1 User data basic concept There are plenty of data distributed in the 3GPP system which is used to perform the services, for instance, the configuration data of a network entity, the session data of a multimedia call, the IP address of a term
39、inal, etc. With respect to user data, it refers to all kinds of the information related to users who make use of the services provided by the 3GPP system. In 3GPP system, user data is spread widely through the different entities (e.g. HLR, HSS, VLR, Application servers) and also the type of user dat
40、a is various. It is of paramount importance to categorize the user data before going through the convergence of user data. 5.2 User data category 5.2.1 Introduction The UDC shall support multiple application user data simultaneously, e.g. HSS and others. Any application can retrieve data from the UD
41、C and store data in it. The applications shall be responsible of updating the UDC with the dynamic changes of the user profile due to traffic reasons (e.g. user status, user location) or as a consequence of subscriber procedures. The hereafter data classification highlights some major differences re
42、garding two of the characteristics : Size per user and real time applicability. 5.2.2 User Subscription Data Before a user can enjoy a service, he may need to subscribe the service first. The subscription data relates to the necessary information the mobile system ought to know to perform the servic
43、e. User identities (e.g. MSISDN, IMSI, IMPU, IMPI), service data (e.g. service profile in IMS) , and transparent data (data stored by Application Servers for service execution) are the examples of the subscription data. This kind of user data has a lifetime as long as the user is permitted to use th
44、e service and may be modified during the lifetime. User may be accessed and configured via various means, e.g. customer service, web interface, UE Presence service. The subscription data is composed of different types such as authentication data, configuration data, etc. Different type of data may r
45、equire different levels of security. 5.2.3 User content Data Some applications may have to store content defined by the user and that here may be quite large (e.g. Photos, videos) User content data can reach very high volume (e.g. Hundreds of Mbytes and more), and the size required to store them may
46、 largely vary over time. They generally do not require the real time constraints as user profile data may require. Storage of user data content is not typically subject of UDR. Storage of user data content is not typically subject of UDR. UDC on user content data can be achieved by converging them w
47、ith links or references, such as URLs, to other entity. ETSI ETSI TR 122 985 V13.0.0 (2016-01)93GPP TR 22.985 version 13.0.0 Release 135.2.4 User Behaviour Data Such data concerns the usage of services by a user as services are consumed. Generally there are event data records that can be generated o
48、n various events in the usage of services by a user and that can be used not only for charging or billing purposes but e.g. for user profiling regarding user behaviour and habits, and that can be valuable for marketing purposes. The amount of such data is also quite different from other categories,
49、they present a cumulative effect as such data can be continuously generated by the network implying a need for corresponding storage. Usage data may require real time aspects about their collection (e.g. for on line charging), they are also often characterized by a high amount of back office processing (e.g. Billing, user profiling). The data related to user behavior comprises - call-related or session-related dynamic data (e.g. session state, MSRN) which are transitory and only valid during a session - location-related data (e.g. VLR number, SGSN number) or/and
