Optimizing and simplifying SIP-based NGNs QoS architecture
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1 Optimizing and simplifying SIP-based NGNs QoS architecture International SIP 2008 January 31 st, 2008 Prof. Dr.-Ing. Ulrich Trick University of Applied Sciences Frankfurt/M. Research Group and laboratory for Telecommunication Networks Kleiststraße 3, Frankfurt/M., Germany Web: The research project providing the basis for this publication was partially funded by the Federal Ministry of Education and Research (BMBF) of the Federal Republic of Germany under grant number 1715B05. The authors of this publication are in charge of its content. 1 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
2 Optimizing and simplifying SIP-based NGNs QoS architecture 1 NGN QoS architecture according to standardization 2 Fundamental requirements to QoS management in SIP-based NGN 3 Integrated framework for comprehensive QoS control in NGN 4 Advantages 2 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
3 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved. Application and service support functions Transport Functions End-user functions Other networks Service User Profiles Service Stratum NACF (Network Attachment Control Functions) Transport User Profiles Transport Stratum Applications Service Control Functions (may include IMS) Transport Control Functions RACF (Resource and Admission Control Functions) NGN QoS architecture according to standardization
4 Functions and effects of standardized NGN QoS architecture Allocation/reservation of resources for media streams on IP transport layer signaling from top to botton required Overall amount of traffic to be generated for QoS/resource control in NGN depends on Network characteristics (network dimensions and topology, transport technology, implemented QoS mechanisms) Number of users User behavior (number of sessions per time per user, average session duration etc.) Amount of QoS/resource control traffic is influenced by factors not efficiently controllable by service providers Standardized NGNs QoS control does not scale (necessarily)! 4 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
5 Fundamental requirements to QoS management in SIPbased NGN Functions and mechanisms needed to provide trustworthy QoS for media sessions more efficiently/scalable End-to-end QoS control, independent of transport technologies/qos mechanisms in access and core networks Simple and resource saving QoS control/management approaches, based on standardized protocols and architectures Both, session-based multimedia services and non-session-based services (e.g. and www access) should be accessible within the same network. NGN QoS control must consider traffic that is not session-based 5 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
6 Tasks to be fulfilled by solution framework Main prerequisites for satisfaction of requirements: any task fulfilled causes only a minimum of additional traffic and must be scalable with number of users and network characteristics Task 1: Continuous ascertainment (and near future prediction) of End-to-End QoS conditions Task 2: Support and assistance of admission control for SIP-based services ( Advanced Admission Control) Task 3: Manipulation of QoS conditions within the network ( QoS control) 6 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
7 User A User B User C User D Integrated framework for comprehensive QoS control in SIP-based NGN UAG A UAG B UAG C UAG D Access Network 1 Access Network 2 Database Session Control Functions (SIP Call Server) SIP NGN IP Core Network QoS Logic and Controller (QoS L&C) To other Networks UAG = User Access Gate 7 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
8 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved. User Access Gate (UAG) Media Flow To User Endsystem To Network SIP-aware Entity (supports tasks 2+3) SIP QoS Monitoring (supports task 1) SIP Media Flow Gate (supports tasks 3) 8
9 QoS Logic and Controller (QoS L&C) To Database To SIP Call Server AI = Artificial Intelligence QoS Ascertainment (supports task 1) AI-based monitoring selection Advanced Admission Control (supports task 2) AI-based significance classification and admission decision QoS Control (supports task 3) AI-based QoS observation and control Applicationspecific QoS analysis and rating 9 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
10 Task 1: Ascertainment of QoS conditions 1 Monitoring of QoS conditions for selected media sessions, each representing statistical QoS condition given for all media sessions with comparable characteristics (medium, codec, network segments, ) SIP Session Request UAG UAG SIP Session Request 3) QoS information query (SIP) CS Session Data 2) UAG observation command(s) Session Data Database AI-based monitoring selection 1) Overall Media Session Information QoS L&C / QoS Ascertainment 10 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
11 Task 1: Ascertainment of QoS conditions 2 Deriving media-dependent QoS conditions by rating general QoS values (jitter, packet loss), based on codec-specific QoS requirements. UAG UAG CS 4) Objective QoS information (SIP) Applicationspecific QoS requirements data 5) Objective QoS information 6) Application-/ Codec-specific QoS requirements Database Applicationspecific QoS analysis and rating 7) QoS conditions and timeline profiles QoS L&C / QoS Ascertainment 11 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
12 Task 2: Advanced Admission Control Considering objective session significance and QoS interdependencies with concurrent media sessions. Allows for manipulation of concurrent media sessions. 1 a) SIP Session Request 5 b) SIP Session grant/ rejection UAG 1 b) SIP Session Request 5 a) SIP Session grant/ rejection CS 2) Admission Decision Request 4) Admission Decision 3 a) Data for session significance classification Database AI-based significance classification and admission decision 3 b) Network segmentand codec-specific QoS profiles QoS L&C / Advanced Admission Control 12 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
13 Task 3: QoS control 3 b) SIP Session Modification/ Cancellation Continuous observation of overall QoS conditions. Identification of QoS shortages and AI-based decision on required action. UAG CS 3 a) SIP Session Modification/ Cancellation 2) Action Decision 1) QoS conditions and timeline profiles Database AI-based QoS observation and control QoS L&C / QoS Control 13 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
14 Advantages Benefits and innovations of the integrated framework for comprehensive QoS control in SIP-based NGN Non-intrusive End-to-End QoS monitoring and observation Supersedes additional passive QoS monitoring by NGN SIP service providers and network operators AI-based selection of QoS monitoring points Avoidance of redundant QoS monitoring traffic Subjective (media- /codec-specific) QoS rating, matching objective QoS information with universally valid application-specific QoS requirements AI-based Advanced Admission Control, considering objective session significance and effective QoS conditions Optimization of service availability and resource utilization AI-based QoS Control Optimization of QoS conditions 14 F. Weber,. Optimizing and simplifying SIP-based NGNs QoS architecture. All rights reserved.
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VoIP acceptance, VoIP connectivity, VoIP conformance, VoIP Approval, SIP acceptance, SIP connectivity, SIP conformance, SIP Approval, IMS acceptance, IMS connectivity, IMS conformance, IMS Approval, VoIP
Analysis of QoS parameters of VOIP calls over Wireless Local Area Networks
Analysis of QoS parameters of VOIP calls over Wireless Local Area Networks Ayman Wazwaz, Computer Engineering Department, Palestine Polytechnic University, Hebron, Palestine, aymanw@ppu.edu Duaa sweity