ETSI TR 103 495-2017 Network Technologies (NTECH) Automatic network engineering for the self-managing Future Internet (AFI) Autonomicity and Self-Management in Wireless Ad-hoc Meshh.pdf

1、 ETSI TR 103 495 V1.1.1 (2017-02) Network Technologies (NTECH); Automatic network engineering for the self-managing Future Internet (AFI); Autonomicity and Self-Management in Wireless Ad-hoc/Mesh Networks: Autonomicity-enabled Ad-hoc and Mesh Network Architectures TECHNICAL REPORT ETSI ETSI TR 103 4

2、95 V1.1.1 (2017-02) 2 Reference DTR/NTECH-AFI-0018-GANA-MESH Keywords architecture, autonomic networking, self-management, wireless ad-hoc network, wireless mesh network 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

3、 562 00017 - NAF 742 C Association but non lucratif enregistre la Sous-Prfecture de Grasse (06) N 7803/88 Important notice The present document can be downloaded from: http:/www.etsi.org/standards-search The present document may be made available in electronic versions and/or in print. The content o

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7、, including photocopying and microfilm except as authorized by written permission of ETSI. The content of the PDF version shall not be modified without the written authorization of ETSI. The copyright and the foregoing restriction extend to reproduction in all media. European Telecommunications Stan

8、dards Institute 2017. All rights reserved. DECTTM, PLUGTESTSTM, UMTSTMand the ETSI logo are Trade Marks of ETSI registered for the benefit 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 ar

9、e Trade Marks registered and owned by the GSM Association. ETSI ETSI TR 103 495 V1.1.1 (2017-02) 3 Contents Intellectual Property Rights 4g3Foreword . 4g3Modal verbs terminology 4g3Introduction 4g31 Scope 5g32 References 5g32.1 Normative references . 5g32.2 Informative references 5g33 Definitions an

10、d abbreviations . 7g33.1 Definitions 7g33.2 Abbreviations . 8g34 GANA Reference Model 9g34.1 Background 9g34.2 A possible approach for the implementation of this GANA instantiation 12g34.2.1 Overview 12g34.2.2 Case 1 - Knowledge Plane Level Autonomicity (Control-Loops) 12g34.2.3 Case 2 - Node Level

11、Autonomicity (Control Loops) 13g34.2.4 Case 3 - Function Level Autonomicity (Control Loops) 13g34.2.5 Case 4 - Protocol Level Autonomicity (Control Loops) . 14g34.3 Stability and Coordination of Autonomic Functions 14g34.4 Governance - Profiles and Policies . 16g35 Autonomicity enabled Ad-hoc and Me

12、sh Network Architectures . 17g35.1 Background 17g35.2 Instantiation of GANA Functional Blocks . 19g35.3 Parameter and Functionality Mapping . 22g35.4 Instantiation of the Knowledge Plane . 23g35.5 Instantiation of Reference Points 25g35.6 Scenarios and Implications on Governance and Behaviours 26g3H

13、istory 27g3ETSI ETSI TR 103 495 V1.1.1 (2017-02) 4 Intellectual Property Rights IPRs essential or potentially essential to the present document may have been declared to ETSI. The information pertaining to these essential IPRs, if any, is publicly available for ETSI members and non-members, and can

14、be found in ETSI SR 000 314: “Intellectual Property Rights (IPRs); Essential, or potentially Essential, IPRs notified to ETSI in respect of ETSI standards“, which is available from the ETSI Secretariat. Latest updates are available on the ETSI Web server (https:/ipr.etsi.org/). Pursuant to the ETSI

15、IPR Policy, no investigation, including IPR searches, 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 T

16、his Technical Report (TR) has been produced by ETSI Technical Committee Network Technologies (NTECH). Modal verbs terminology In the present document “should“, “should not“, “may“, “need not“, “will“, “will not“, “can“ and “cannot“ are to be interpreted as described in clause 3.2 of the ETSI Draftin

17、g Rules (Verbal forms for the expression of provisions). “must“ and “must not“ are NOT allowed in ETSI deliverables except when used in direct citation. Introduction The distributed nature of Wireless Mesh Networks (WMNs) allows them to benefit from multiple autonomic functionalities. However, the e

18、xisting landscape of self-x solutions (e.g. self-configuration) is fragmented and the lack of a standardized framework through which interoperable autonomics can be developed has been hampering adoption and deployment of autonomics in real world service networks. There is a need for a standardized a

19、rchitectural framework that enables to comprehensively support and integrate interoperable components for autonomicity in WMNs. Such an architecture (autonomicity-enabled wireless mesh architecture) is the subject of the present document. The proposed autonomic wireless mesh architecture is an insta

20、ntiation of the GANA (Generic Autonomic Network Architecture) Reference Model - a standards based approach to autonomics, onto the wireless mesh network architecture. The provided guidelines can now help researchers and engineers build autonomicity-enabled WMNs using a standardized framework that en

21、ables adoption and deployment of autonomics by industry, thereby enabling researchers and engineers to contribute to further evolution of the framework described in the present document in ETSI. It has to be noted that the same approach being applied to introducing autonomics in mesh networks in the

22、 present document also applies to Ad-hoc wireless networks, and so the present document covers both aspects - hence the document title “Autonomicity and Self-Management in Wireless Ad-hoc/Mesh Networks: Autonomicity-enabled Ad-hoc and Mesh Network Architecture“. The GANA model is being instantiated

23、onto various reference network architectures to create autonomics-enabled reference network architectures. For example, ETSI recently published ETSI TR 103 404 i.17, which addresses Autonomicity and Self-Management in the Backhaul and Core network parts of the 3GPP Architecture through GANA instanti

24、ation onto the Backhaul and Core (EPC) network parts of the 3GPP architecture. Readers may also find ETSI TR 103 404 i.17 helpful in further understanding how GANA is being applied in various networks. Readers may also follow up on ongoing work in ETSI on instantiation of the GANA onto the Broadband

25、 Forum (BBF) architectures that incorporate SDN (Software-Defined Networking) and NFV (Network Functions Virtualization). To obtain some guidance and information on the various types of stakeholders who should get involved and contribute to standards on self-managing future networks, readers may ref

26、er to i.6 and i.15. ETSI ETSI TR 103 495 V1.1.1 (2017-02) 5 1 Scope The present document aims to provide recommendations for the introduction of autonomics (management and control intelligence) into Ad-hoc and Mesh Network architectures and their associated management and control architectures. The

27、present document describes: Autonomicity-enabled Ad-hoc and Mesh Network Architecture that is a result of the instantiation of the GANA (Generic Autonomic Networking Architecture) Reference Model on the Ad-hoc and Mesh Network architecture to enable developers of autonomics to introduce autonomics i

28、n the architecture Relevant autonomicity-enabled functions and operations Relevant GANA Decision Elements (DEs) and Reference Points between those DEs The present document describes the specific desirable features for autonomic management and control of Ad-hoc and mesh network functions through the

29、introduction of Decision Elements (DEs) and their associated control loops at the Network, Node and Function level of the GANA reference model. The Protocol level needed to be additionally addressed due to the need for accommodating the specifics of Ad-hoc and mesh set-ups. 2 References 2.1 Normativ

30、e references Normative references are not applicable in the present document. 2.2 Informative references References are either specific (identified by date of publication and/or edition number or version number) or non-specific. For specific references, only the cited version applies. For non-specif

31、ic references, the latest version of the referenced document (including any amendments) applies. NOTE: While any hyperlinks included in this clause were valid at the time of publication, ETSI cannot guarantee their long term validity. The following referenced documents are not necessary for the appl

32、ication of the present document but they assist the user with regard to a particular subject area. i.1 M. Wdczak, T. Ben Meriem, R Chaparadza, K. Quinn, B. Lee, L. Ciavaglia, K. Tsagkaris, S. Szott, A. Zafeiropoulos, B. Radier, J. Kielthy, A. Liakopoulos, A. Kousaridas, M. Duault, Standardising a Re

33、ference Model and Autonomic Network Architectures for the Self-managing Future Internet, IEEE Network, vol. 25, no. 6, 2011. i.2 R. Chaparadza, S. Papavassiliou, T. Kastrinogiannis, M. Vigoureux , E. Dotaro, A. Davy, K. Quinn, M. Wodczak, A. Toth, A. Liakopoulos, M. Wilson: Creating a viable Evoluti

34、on Path towards Self-Managing Future Internet via a Standardizable Reference Model for Autonomic Network Engineering. Published in the book by the Future Internet Assembly (FIA) in Europe: Towards the future internet - A European research perspective. Amsterdam: IOS Press, 2009, pp. 136-147. i.3 And

35、reas Klenk, Michael Kleis, Benoit Radier, Sanaa Elmoumouhi, Georg Carle, and Michael Salaun. “Towards autonomic service control in next generation networks“. In Proceedings of The Fourth International Conference on Autonomic and Autonomous Systems, ICAS 2008, pages 198-204, Gosier, Guadeloupe, March

36、 2008. IEEE. i.4 Antje Barth, Michael Kleis, Andreas Klenk, Benoit Radier, Sanaa Elmoumouhi, Mikael Salaun, and Georg Carle. Context dissemination in peer-to-peer networks. In Chapter in Book: “Developing Advanced Web Services through P2P Computing and Autonomous Agents: Trends and Innovation“. Khal

37、ed Ragab, Aboul-Ella Hassanien, Tarek Helmy (Eds.). IGI-Global, December 2009. ETSI ETSI TR 103 495 V1.1.1 (2017-02) 6 i.5 Ranganai Chaparadza et al. “ETSI Industry Specification Group on Autonomic network engineering for self-managing Future Internet (ETSI ISG AFI)“ Abstract Web Information Systems

38、 Engineering Volume Editor 2009 WISE 2009. i.6 Ranganai Chaparadza, Tony Jokikyyny, Latif Ladid, Jianguo Ding, Arun Prakash, Said Soulhi: The diverse stakeholder roles to involve in Standardization of Emerging and Future Self-Managing Networks: In proceedings of the 3rd IEEE MENS Workshop at IEEE Gl

39、obecom 2011: 6-10 December 2011, Houston, Texas, USA. i.7 ETSI GS AFI 001 (2011-06): “Autonomic network engineering for the self-managing Future Internet (AFI); Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet“. i.8 IEEE 802.11: “IEEE Standard for Information technol

40、ogy-Telecommunications and information exchange between systems Local and metropolitan area networks-Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications“. i.9 Belqasmi, F.; Glitho, R.; Dssouli, R.; “Ambient network composition,“ Network, IE

41、EE , vol.22, no.4, pp.6-12, July-Aug. 2008. i.10 Thomas Edwall, “The Vision of Future Internet according to SAIL“, Future Network Autonomic network engineering for the self-managing Future Internet (AFI); Autonomicity and Self-Management in the Backhaul and Core network parts of the 3GPP Architectur

42、e“. i.18 ETSI TS 103 194: “Network Technologies (NTECH); Autonomic network engineering for the self-managing Future Internet (AFI); Scenarios, Use Cases and Requirements for Autonomic/Self-Managing Future Internet“. i.19 ETSI GS AFI 002 (V1.1.1): “Autonomic network engineering for the self-managing

43、Future Internet (AFI); Generic Autonomic Network Architecture (An Architectural Reference Model for Autonomic Networking, Cognitive Networking and Self-Management)“. NOTE An Architectural Reference Model for Autonomic Networking, Cognitive Networking and Self-Management. i.20 IEEE 802.21: “IEEE Stan

44、dard for Local and metroploitan area networks - Media Independent Handover Services“. ETSI ETSI TR 103 495 V1.1.1 (2017-02) 7 3 Definitions and abbreviations 3.1 Definitions For the purposes of the present document, the following terms and definitions apply: Autonomic Behaviour (AB): process which u

45、nderstands how desired Managed Entity (ME) behaviours are learned, influenced or changed, and how, in turn, these affect other elements, groups and networks i.18 NOTE: In the GANA model, an autonomic behaviour is any behaviour of a DE that is observable on its interfaces. A GANA DE is also called an

46、 Autonomic function (AF). autonomic networking: networking paradigm that enables network devices or elements (physical or virtual) and the overall network architecture and its management and control architecture to exhibit the so-called self-managing properties, namely: auto-discovery of information

47、 and entities Self-configuration (auto-configuration), Self-diagnosing, Self-repair (Self-healing) Self-optimization, and other self-* properties NOTE 1: Autonomic Networking can also be interpreted as a discipline involving the design of systems (e.g. network nodes) that are self-managing at the in

48、dividual system levels and together as a larger system that forms a communication network of systems. NOTE 2: The term “autonomic“ comes from the autonomic nervous system (a closed control loop structure), which controls many organs and muscles in the human body. Usually, humans are unaware of its w

49、orkings because it functions in an involuntary, reflexive manner - for example, humans do not notice when their heart beats faster or their blood vessels change size in response to temperature, posture, food intake, stressful experiences and other changes to which human are exposed. And their autonomic nervous system is always working i.18. Decision Making Element (DME): functional entity designed and assigned to autonomically manage and control its assigned Managed Entities (MEs) by dynamically (re)-configuring the MEs an