End-to-End Quality of Service

Engineering in Next Generation Heterogenous Networks

Inbunden, Engelska, 2008

Av Abdelhamid Mellouk, France) Mellouk, Abdelhamid (University of Paris-Est

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A modern communication network can be described as a large, complex, distributed system composed by higher interoperating, smaller sub-systems. Today, the proliferation and convergence of different types of wired, wireless, and mobile networks are crucial for the success of the next generation networking. However, these networks can hardly meet the requirements of future integrated-service networks, and are expected to carry multimedia traffic with various Quality of Experience (QoE) and Quality of Service (QoS) requirements. Providing all relevant QoS/QoE issues in these heterogeneous networks is then an important challenge for telecommunication operators, manufacturers, and companies. The impressive emergence and the important demand of the rising generation of real-time Multi-service (such as Data, Voice VoD, Video-Conference, etc.) over communication heterogeneous networks, require scalability while considering a continuous QoS. This book presents and explains all the techniques in new generation networks which integrate efficient global control mechanisms in two directions: (1) maintain QoS requirements in order to maximize network resources utilization, and minimize operational costs on all the types of wired-wireless-mobile networks used to transport traffic, and (2) mix the QoS associated with home, access, and core networks in order to provide Quality of Service/Quality of Experience expected by users of new services.

Produktinformation

Utgivningsdatum2008-12-23
Mått163 x 241 x 33 mm
Vikt826 g
FormatInbunden
SpråkEngelska
Antal sidor458
FörlagISTE Ltd and John Wiley & Sons Inc
ISBN9781848210615

Tillhör följande kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Abdelhamid MELLOUK (IEEE Senior Member) is a full professor at University of Paris-Est, Networks & Telecommunications, Department and LiSSi Laboratory, France. Founder of the Network Control Research activity with extensive international academic and industrial collaborations, his general area of research is in adaptive real-time control for high-speed new generation dynamic wired/wireless networking in order to maintain acceptable quality of service/experience for added value services. He is an active member of the IEEE Communications Society and held several offices including leadership positions in IEEE Communications Society Technical Committees.

Chapter 1. Challenges for End-to-End Quality of Service over Heterogenous Networks 1Abdelhamid MELLOUK1.1. Introduction 11.2. Research challenges in end-to-end QoS 21.3. Contents 41.3.1. Chapter 2: principles and mechanisms for Quality of Service in networks 41.3.2. Chapter 3: different approaches to guarantee Quality of Service 51.3.3. Chapter 4: Quality of Service-based adaptive routing approaches 61.3.4. Chapter 5: optical networks: new challenges and paradigms for Quality of Service 71.3.5. Chapter 6: pushing Quality of Service across interdomain boundaries 81.3.6. Chapter 7: Internet-based collaborative teleoperation: towards tailorable groupware for teleoperation 91.3.7. Chapter 8: survivability-oriented Quality of Service in optical networks 101.3.8. Chapter 9: MAC protocols for Quality of Service provisioning in mobile ad hoc networks101.3.9. Chapter 10: Quality of Service-based scheduling mechanisms in mobile networks 111.3.10. Chapter 11: Quality of Service in wireless ad hoc and sensor networks 121.3.11. Chapter 12: Quality of Service challenges in WiMAX networks 131.3.12. Chapter 13: Quality of Service support for MPLS-based wired-wireless domains 141.3.13. Chapter 14: Quality of Service control in VoIP applications 151.3.14. Chapter 15: towards collaborative teleoperation based on human scale networked mixed reality environments. 161.3.15. Chapter 16: Quality of Service driven context awareness using semantic sensors infrastructure 171.3.16. Chapter 17: effect of transmission delay on haptic perception in shared virtual environments 181.4. Conclusion 19Chapter 2. Principles and Mechanisms for Quality of Service in Networks 21Zoubir MAMMERI2.1. Introduction 212.2. Concepts and definitions 232.2.1. Definitions of QoS in a networking context 232.2.2. End-to-end QoS 242.2.3. Classes (levels) of service 242.2.4. Differentiated classes of service 262.3. QoS parameters and application classification 262.3.1. QoS parameter types 262.3.2. Application classification 292.3.3. QoS parameter specification 322.3.4. Traffic models 322.3.5. Service level agreements 342.4. Mechanisms and functions for QoS provisioning 352.4.1. General issues 352.4.2. QoS establishment 362.4.3. Admission control 362.4.4. QoS negotiation and renegotiation 372.4.5. Resource management 382.4.6. QoS signaling protocols 392.4.7. Routing 392.4.8. Traffic control mechanisms 412.4.9. QoS control, maintenance, monitoring 452.4.10. QoS policy 452.4.11. QoS mapping and translation 462.5. Overview of IntServ, DiffServ and MPLS 472.5.1. Integrated services architecture 472.5.2. DiffServ architecture 482.5.3. MPLS 502.6. Conclusion 512.7. References 51Chapter 3. Different Approaches to Guarantee Quality of Service 55Pascale MINET3.1. Introduction to QoS 553.1.1. Different QoS requirements 563.1.2. Organization of chapter 583.2. Means of managing an end-to-end time constraint 593.2.1. Components of an end-to-end response time 593.2.2. Different methods to ensure that D is met 613.2.3. Discussion 653.2.4. A producer/consumer scheme avoiding starvation 663.2.5. Example of a video-on-demand multimedia system 673.3. Evaluation of the end-to-end response time 683.3.1. The holistic approach 683.3.2. Network calculus 693.3.3. Trajectory approach 713.3.4. Comparison between the holistic and trajectory approaches 743.3.5. Flow shaping 773.4. Probabilistic guarantee of the end-to-end response time 793.4.1. Principles for a probabilistic guarantee 793.4.2. Examples 803.4.3. Probabilistic versus deterministic guarantee 813.5. QoS support in a mobile ad hoc network 813.5.1. Specificities of MANETs 813.5.2. The OLSR routing protocol 823.5.3. QoS architecture and QoS OLSR 833.6. Conclusion and perspectives 873.7. References 89Chapter 4. Quality of Service-based Adaptive Routing Approaches 93Abdelhamid MELLOUK and Saïd HOCEINI4.1. Introduction 934.2. QoS-based routing algorithms 954.2.1. Classical routing algorithms 974.3. QoS-based routing approaches 994.4. Inductive approaches based on machine learning paradigms 994.4.1. Cognitive Packet Networks (CPN) 1004.4.2. Swarm ant colony optimization (AntNet) 1004.4.3. Reinforcement learning routing approaches 1014.5. Neural net-based approach for adaptive routing policy 1024.6. State-dependent KOQRA algorithm 1054.6.1. First stage: constructing K optimal paths 1054.6.2. Second stage: optimizing the end-to-end delay with the Q-learning algorithm 1074.6.3. Third stage: adaptive probabilistic path selection 1084.7. Conclusion 1084.8. References 109Chapter 5. Optical Networks: New Challenges and Paradigms for Quality of Service 115Ken CHEN and Wisssam FAWAZ5.1. Introduction 1155.2. Optical communication: from transmission to networking 1165.2.1. Fiber optic cable 1165.2.2. WDM technology 1175.2.3. From transmission to networking 1185.3. Optical networks as a pillar for future network infrastructure 1195.4. Routing and wavelength assignment 1215.5. GMPLS 1225.5.1. MPLS 1225.5.2. Principle of the GMPLS extension 1245.5.3. GMPLS components 1265.6. Towards a new optical link-based architecture 1295.7. Protection against link failures 1305.8. Optical packet switch and optical burst switch 1315.8.1. Optical packet switching 1315.8.2. Optical burst switching 1325.9. Conclusion 1335.10. References 133Chapter 6. Pushing Quality of Service Across Inter-domain Boundaries 135Bingjie FU, Cristel PELSSER, Steve UHLIG6.1. Introduction 1356.2. Background 1366.2.1. The Internet as a distributed system 1376.2.2. Business relationships between ASs 1376.2.3. Impact of inter-domain routing on path diversity 1386.2.4. Inter-AS LSP requirements 1426.3. RSVP-TE extensions to support inter-domain LSPs 1436.3.1. Explicit routing of an LSP 1436.3.2. RRO aggregation and the path key 1446.3.3. Protection of inter-AS LSPs 1456.3.4. End-to-end disjoint LSPs 1466.4. State of the art in inter-domain PCE 1466.4.1. PCE-based architecture 1466.4.2. Path computation methods 1476.4.3. Applicability of the path computation techniques 1526.5. Towards inter-AS QoS 1526.5.1. DistributingQoS Information for inter-AS LSPs 1536.5.2. Computing inter-AS LSPs with end-to-end QoS constraints 1556.6. Conclusion and perspectives 1586.7. Acknowledgments 1596.8. References 159Chapter 7. Internet-based Collaborative Teleoperation: Towards Tailorable Groupware for Teleoperation 163Samir OTMANE, Nader CHEAIB and Malik MALLEM7.1. Introduction 1637.2. Teleoperation via the World Wide Web 1647.2.1. Non-collaborative teleoperation systems 1667.2.2. Towards collaborative teleoperation systems 1707.3. ARITI-C: a groupware for collaborative teleoperation via the Internet 1727.3.1. Software architecture of ARITI-C 1737.3.2. Human-machine interface of ARITI-C 1777.4. Integrating QoS in designing tailorable collaborative teleoperation systems 1857.4.1. Need for QoS in internet-based teleoperation1857.4.2. Need for tailorability in internet-based collaborative teleoperation 1867.4.3. Design of tailorable groupware for internet-based collaborative teleoperation 1907.5. Conclusion 1927.6. References 193Chapter 8. Survivability-Oriented Quality of Service in Optical Networks 197Wissam FAWAZ and Ken CHEN8.1. Introduction 1978.2. Optical transport network failures 1988.2.1. Failure statistics 1998.2.2. Causes of failure 2008.3. Optical network survivability evolution 2028.3.1 Survivability in traditional carrier network architecture 2028.3.2. Protection at the IP layer? 2048.3.3 Why optical layer survivability? 2058.4. Optical WDM-layer survivability mechanisms 2078.4.1. Path protection 2088.4.2. Path restoration 2098.4.3. Link protection 2098.4.4. Link restoration 2108.5. Conclusion 2108.6. References 211Chapter 9. MAC Protocols for Quality of Service Provisioning in Mobile Ad Hoc Networks 213Ghalem BOUDOUR, Mahboub A. BALI and Cédric TEYSSIÉ9.1. Introduction 2139.2. IEEE 802.11 standard basics 2169.3. Prioritization-oriented MAC protocols 2179.3.1. RT-MAC protocol 2179.3.2. DCF-PC protocol 2189.3.3. HCF and IEEE 802.11e 2199.3.4. DPS protocol 2219.3.5. BB-DCF protocol 2229.3.6. ES-DCF and DB-DCF protocols 2249.4. Reservation-oriented protocols 2269.4.1. Reservation protocols with synchronization 2279.4.2. Reservation protocols without synchronization 2319.4.3. Limitations of reservation-based protocols 2359.5. Available bandwidth estimation methods for ad hoc networks 2359.5.1. General issues 2359.5.2. Methods for bandwidth estimation 2379.6. Conclusion 2449.7. References 245Chapter 10. Quality of Service Scheduling Mechanisms in Mobile Networks 249Mohamed BRAHMA, Abdelhafid ABOUAÏSSA and Pascal LORENZ10.1. Introduction 24910.1.1. Mobile ad hoc networks (MANETs) 25010.1.2. Constraints 25110.2. Quality of Service 25110.2.1. Routing with QoS in the ad hoc network 25110.2.2. QoS models in ad hoc networks 25210.2.3. QoS MAC protocols 25410.3. Buffer and energy-based scheduling 25610.3.1. Marking MAC frames 25810.3.2. Adjusting the weight of each class queue 25810.3.3. Weight calculation algorithm 25910.4. Simulations and numerical results 26010.5. Conclusion 26610.6. References 266Chapter 11. Quality of Service inWireless Ad Hoc and Sensor Networks 269Azzedine BOUKERCHE, Horacio A.B.F. OLIVEIRA, Eduardo F. NAKAMURA, Richard W.N. PAZZI and Antonio A.F. LOUREIRO11.1. Challenges for QoS in ad hoc and sensor networks 27011.2. QoS parameters in ad hoc and sensor networks 27111.3. Components of a QoS system 27311.4. MACmeasurement and reservation 27411.4.1. Q-MAC 27711.5. QoS routing discovery and maintenance 27811.5.1. Ticket-based probing 27811.5.2. QoS-based geographic routing 28011.5.3. Core extraction distributed ad hoc routing – CEDAR28111.5.4. EQoS 28311.5.5. The INSIGNIA QoS framework 28311.5.6. Ad hocQoS on-demand routing –AQOR 28511.6. Conclusions 28711.7. References 288Chapter 12. Quality of Service Challenges in WiMAX Networks 291Sahar GHAZAL and Jalel BEN-OTHMAN12.1. Introduction 29112.2.QoS limitations in wireless networks 29312.3.QoS features in WiMAXnetworks 29412.3.1. Classification process 29412.3.2. Scheduling services 29512.3.3. Bandwidth management policies 29612.4. QoS parameter set and management messages 29812.4.1. Connection establishment 29912.4.2. Dynamic change of admitted QoS parameters 30012.5. MAC layer and QoS architecture 30112.6. PHY layer supports QoS 30212.7. QoS previous proposed solutions for WiMAX 30312.7.1. Proposed scheduling algorithms 30312.7.2. Proposed admission policies 30412.8. Conclusion 30512.9. References 305Chapter 13. Quality of Service Support for MPLS-based Wired-Wireless Domains 309Scott FOWLER, Sherali ZEADALLY and Abdelhamid MELLOUK13.1. Abstract 30913.2. Introduction 31013.3. MPLS technology 31013.3.1. Label distribution protocol (LDP) 31213.4. Mobility and MPLS 31413.5. Hierarchical MIP 31513.6. Extending MPLS from wired networks to wireless networks 31713.6.1. Hierarchical mobile MPLS (H-MPLS) approach 31713.6.2. Hierarchical mobile IPv6withMPLS 32113.6.3. Micro-mobility with MPLS (MM-MPLS) approach 32613.6.4. The label edge mobility agent (LEMA) approach 32813.7. Multimedia support over MPLS-based networks 32913.7.1. MPLS support in DiffServ 33113.7.2. Resource reservation protocol traffic engineering (RSVP-TE) with MPLS 33513.7.3. Constraint-based routed label distribution protocol (CR-LDP) 33613.8. Emerging trends of MPLS-based networks 33713.8.1. Label management of MPLS 33813.8.2. MPLS support over heterogenous networks 33913.8.3. MPLS security 33913.8.4. QoS support over MPLS-based networks 33913.8.5. Fast handovers across MPLS-based wired-wireless networks 34013.9. Conclusion 34013.10. References 34213.11. Appendix – list of acronyms 344Chapter 14. Quality of Service Control in Voice-over IP Applications 347Vincent LECUIRE and Mouna BENAISSA14.1. Introduction 34714.2. General structure of VoIP applications 34814.3. End-to-end delay analysis 35114.3.1. Coding/decoding delay 35214.3.2. Packetization delay 35314.3.3. Network delay 35314.3.4. Jitter compensation delay 35314.3.5. End-to-end delay calculation 35414.4. Quality of Service requirements for VoIP 35414.4.1. Delay constraint 35414.4.2. Packet loss constraint 35514.4.3. Jitter constraint 35614.5. Algorithms for adaptive playout buffering 35714.5.1. Approach based on linear filtering 35914.5.2. Approach based on adaptive filter 36314.5.3. Approach based on statistics distribution 36414.6. Forward error correction mechanisms for packet loss repair 36714.6.1. Media-specific FEC 36814.6.2. Media-independent FEC 36914.7. Joint playout buffering and packet-level FEC algorithms 37014.7.1. Virtual delay algorithms 37114.7.2. Delay aware algorithm 37114.8. Conclusion 37214.9. References 372Chapter 15. Towards Collaborative Teleoperation Based On Human-Scale Networked Mixed Reality Environments 377Samir OTMANE, Nassima OURAMDANE and Malik MALLEM15.1. Introduction 37715.2. Teleoperation and telerobotics 37815.2.1. Brief background 37915.2.2. Teleoperation 37915.2.3. Telerobotics 38215.2.4. Some application domains 38315.3. Augmented reality assisted teleoperation 38915.4. Human-scale collaborative teleoperation 39315.4.1. Collaborative working environments. 39415.4.2. Interactions in human-scale teleoperation 39515.4.3. Distributed software architecture for human-scale collaborative teleoperation 39815.5. Synthesis and problematics 40115.6. References 403Chapter 16. QoS-driven Context Awareness Using Semantic Sensors Infrastructure 407Abdelghani CHIBANI and Yacine AMIRAT16.1. Introduction 40716.2. Context-aware pervasive computing 40816.3. Service agent middleware for decentralized context management 40916.3.1. Context service agent 41016.3.2. Context aggregation agent 41116.3.3. Context services composition 41316.4. Context service discovery 41516.4.1. QoS-driven context directories management 41616.4.2. Contextual knowledge modeling 41616.4.3. Contextual service modeling41916.4.4. Context service semantic matching 42016.5. Semantic context sensor scenarios 42216.5.1. Scenario 1: context-aware travel organizer service 42316.5.2. Scenario 2: context-aware services for healthcare ubiquitous robot 42516.5.3. Scenario 3: context sensor infrastructure for living lab services 42616.6. Conclusion 42716.7. References 428Chapter 17. Effect of Transmission Delay on Haptic Perception in Shared Virtual Environments 431Hichem ARIOUI17.1. Introduction 43117.2. Haptic simulation in VR applications 43317.2.1. Haptic feedback device 43317.2.2. Applications of haptic systems 43617.3. Delayed force feedback systems 43717.3.1. Automatic control law, solutions and handicaps 43717.3.2. Remote programming, solutions and handicaps 44117.4. The Quality of Service for a good haptic rendering 44217.5. References 443List of Authors 445Index 451