E2E QoS: The fundamental of the approach

Transcription

1 E2E QoS: The fundamental of the approach Presenter : YIN Chunyang N. SIMONI simoni@enst.fr STF 360 Workshop ETSI Sophia Antipolis TELECOM ParisTech Computer of Science and Networks Department ETSI All rights reserved

2 Agenda What is the QoS? The End to End architecture The End-to-End cooperation The End-to-End QoS The modeling (5) QoS Model (3) QoS : towards a definition Vertical architecture vs. Horizontal architecture Towards an integration The End-to-End traceability Conclusion 2

3 What is the QoS? E800: Totality of characteristics of a telecommunications service that bear on its ability to satisfy stated and implied needs of the user of the service. C onstraints (dynam ics) D esirable_q os C apable_q os D em a nded_q os N egotiation O ffered_q os U ser C ontracted_q os P rovider P erceived_q os P rovided_q os TR-126 (QoE): E2E (overall), service level performance from the perspective of the end user 3

4 The E2E architecture Serviceware Service network NGN/NGS Middleware Core Network Fixed network Access Network 1 Wireless network Access Network 2 Wired network Access Network 3 Wireless network Seamless Userware 4

5 The End-to-End cooperation PW R OK WI C0 AC T/ CH 0 AC T/ CH 1 WI C0 A CT/ C H0 AC T/ CH 1 E TH A CT C OL 5

6 E2E QoS: the characterization of the behavior User Level (Service Access) Service Level Network Level Equipment Level 6

7 The modeling : Level of visibility (1/5) G1 User Level ES1 ES3 ES4 ES2 Service Level CA3 PoP CA4 PoP PoP CA2 PoP CA1 Network Level Server Server Router Router Router Router Router Server Server Equipment Level 7

8 The modeling : the abstraction (2/5) The universal encyclopedia defines abstraction as «a formal work, structuring the data according to four distinguished mental operations» simplification (neglecting all the circumstance touring an act), Generalization (identifying the general proprieties), Selection (isolating a specific feature), schematization (analyzing a phenomena and restorer it as a data system). 8

9 The modeling of the real world (3/5) Node : it is the abstraction representing an entity, any element (server, router, terminal, etc) responsible of a specific processing. Link : it is the abstraction representing the interaction between two nodes. It designates any component (flow, virtual circuit, cable, etc) offering its transfer capacities in order to provide to the nodes a support of interconnection. Network : is a set of nodes and links offering any global service (service component s network, transport network, PAN, etc) in a transparent way. 9

10 Service Level modeling.(4/5) Our vision to build service-oriented design The service node concept is considered as the basic entity to design and develop distributed applications A global service can thus be built by dynamically composing modular services, thus obtaining service-level Our approach to service is based on Virtual Private Service Network (VPSN) concept But why the vision 10

11 General approach (5/5) VPSN (Virtual Private Service Network) Network of service components which provides a personalized value-added service according to the user requirements (preference, QoS, ) Follows a «Node-Link-Network» model Service-level overlay Example of a vocal SMS service composed of three components SMS Server Codec conversion Text-to-speech (provider 2) Audio output Text-to-speech (provider 1) Service component Media link VPSN 11

12 QoS of each level: which model? (1/3) Temporal transparency: transfer the information once the user creates it and as long time as the duration of its transferring ( Availability ), without changing the temporal relation intrinsic with the generated information Delay (Delay). Spatial transparency: transfer the volume of the information instantaneously generated (Capacity), Capacity Semantic transparency: the transfer is done totally and without content alteration (Reliability). Reliability 12

13 A same model : QoS criteria (2/3) Availability indicates the accessibility rate for the nodes and the logical links we defined in our Meta model as well. Reliability indicates the involuntary modification rate of the information concerning the nodes and the links during their treatment. Delay indicates the treatment s duration of the nodes and the mean delay of the routing information of the links. Capacity indicates the maximum charge of the service nodes and the usable bandwidth of the links. 13

14 The conceptual tools (3/3) Visibility Levels Location Semantic User Service Network Equipment QoS Evaluation Availability Reliability Delay Capacity Distance The source behavior 14

15 QoS : towards a definition SLA (Service Level Agreement) between a service provider and a client. It is defined through a contract. It is evaluated through all the criteria. It is measured through the relevant parameters in each visibility level. It formalizes the no-functional aspects of each function. It is aggregated for an End-to-End flow. 15

16 Vertical architecture vs. Horizontal architecture Virtual Telecommunications Community Userware N1 N2 N3 N4 16

17 Towards an integration SCU SCA SCU SCU SCU SCA SCN SCN SCA SCU SCU SCN SCU SCA SCN SCU SCA SCN SCU Access Level Service Level Network Level SCA: Servcie Component for Application SCN: Service Component for Network SCU: Service Component for User 17

18 The End-to-End traceability Business Visibility Level BE1 BE2 BE4 BE3 Service Visibility Level SE1 SE2 SE4 SE3 Network Visibility Level NE2 PoP PoP NE3 NE1 PoP PoP NE4 Equipment Visibility Level Visibility Level Operator s Decision Level 18

19 A first conclusion : A methodology for E2E QoS Identifying all the actors on the End-to-End chain Positioning according to the visibility s level Study the four criteria of the QoS at each level Identification the measurable parameters associated to each criteria at each level. 19

20 References ITU-T Recommendation E800: TERMS AND DEFINITIONS RELATED TO QUALITY OF SERVICE. AND NETWORK PERFORMANCE INCLUDING DEPENDABILITY, revised in 2008 TR-126: Triple-play Services, Quality of Experience (QoE) Requirements, 13 December 2006, DSL Forum Technical Report H. Huynh, N. Simoni, E. Lavinal, A Dynamic QoS Management for Next Generation of Services, ICAS 07 Jun. 2007, Athens, Greece Z. Benahmed Daho, N. Simoni, Towards Dynamic Virtual Private Service Networks: Design and Self-Management, IEEE/IFIP NOMS 2006, April 2006, Vancouver, Canada 20

21 Thank you and questions? 21