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Scalable Multicasting over Next-Generation Internet: Design, Analysis and Applications 2012 [Kõva köide]

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  • Formaat: Hardback, 158 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, XVIII, 158 p., 1 Hardback
  • Ilmumisaeg: 18-Jul-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1461401518
  • ISBN-13: 9781461401513
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Scalable Multicasting over Next-Generation Internet: Design, Analysis and Applications 2012Suurem pilt
  • Formaat: Hardback, 158 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, XVIII, 158 p., 1 Hardback
  • Ilmumisaeg: 18-Jul-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1461401518
  • ISBN-13: 9781461401513
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781461401513.html
Märksõnad:
Next-generation Internet providers face high expectations, as contemporary users worldwide expect high-quality multimedia functionality in a landscape of ever-expanding network applications. This volume explores the critical research issue of turning today’s greatly enhanced hardware capacity to good use in designing a scalable multicast protocol for supporting large-scale multimedia services. Linking new hardware to improved performance in the Internet’s next incarnation is a research hot-spot in the computer communications field. The methodical presentation deals with the key questions in turn: from the mechanics of multicast protocols to current state-of-the-art designs, and from methods of theoretical analysis of these protocols to applying them in the ns2 network simulator, known for being hard to extend. The authors’ years of research in the field inform this thorough treatment, which covers details such as applying AOM (application-oriented multicast) protocol to IPTV provision and resolving the practical design issues thrown up in creating scalable AOM multicast service models.

This book covers the latest research results of multicast protocol design. It presents a new multicast protocol specifically designed for the next-generation Internet with enhanced networking nodes and describes how to apply it to improve performance.
1 Introduction
1(8)
1.1 Unicast, Broadcast, and Multicast
1(1)
1.2 Scalability and Bandwidth Efficiency
2(1)
1.3 Multicasting Over Next-Generation Internet
3(6)
1.3.1 Multicast with an AON Approach
3(2)
1.3.2 Application of AOM to IPTV
5(1)
1.3.3 Developing a Generic AON Simulation Framework
5(1)
1.3.4 Objectives
6(1)
References
6(3)
2 Background and Literature Review
9(30)
2.1 The Evolution of IP Multicast
9(7)
2.1.1 Intra-Domain Multicast
9(4)
2.1.2 Inter-Domain Multicast
13(3)
2.2 Overlay Multicast
16(4)
2.2.1 Approaches for Overlay Multicast
16(3)
2.2.2 An Architectural Perspective
19(1)
2.3 Modern Multicast: Exploiting the Enhanced Intelligence
20(6)
2.3.1 Reunite
20(1)
2.3.2 Xcast
21(1)
2.3.3 FRM Family
22(2)
2.3.4 MAD
24(2)
2.4 Application-Oriented Networking
26(4)
2.4.1 AON Concept
26(2)
2.4.2 Enabling Technique
28(2)
2.5 IPTV Over Multicast
30(4)
2.5.1 IPTV Architecture
31(1)
2.5.2 IPTV Channel Zapping
32(2)
2.6 Summary
34(5)
References
35(4)
3 Application-Oriented Multicast
39(32)
3.1 AOM Service Model
39(8)
3.1.1 Membership Management
40(1)
3.1.2 Multicast Forwarding Protocol
41(1)
3.1.3 Service Model Level Evaluation: AOM, IP, and Overlay
42(5)
3.2 Practical Design Issues
47(1)
3.3 Bloom-Filter Based Implementation of AOM
48(6)
3.3.1 Bloom Filter Data Structure
48(2)
3.3.2 Group Joining Process
50(1)
3.3.3 MUM Processing at the SRC
51(2)
3.3.4 Downstream Data Forwarding
53(1)
3.3.5 Group Leaving Process
54(1)
3.4 Discussions on Implementation Details
54(4)
3.4.1 Services Decoupled from Routing
54(1)
3.4.2 Asymmetric Routing Scenario
55(1)
3.4.3 Supporting the Multisource
55(2)
3.4.4 Uniformed Intra-/Inter-domain Solution
57(1)
3.5 Theoretical Analysis on AOM Forwarding
58(3)
3.5.1 Loop-Free Forwarding Without Redundant Traffic
58(2)
3.5.2 False Positives in Forwarding
60(1)
3.6 Performance Evaluation
61(8)
3.6.1 Memory Overhead
62(2)
3.6.2 Bandwidth Overhead
64(4)
3.6.3 Forwarding False Positive
68(1)
3.7 Summary
69(2)
References
70(1)
4 Inter-Domain AOM and Incremental Deployment
71(32)
4.1 BGP-View-Based Joining Process
71(4)
4.1.1 Revisiting the Basic Design of AOM
72(1)
4.1.2 Efficient Reverse SPT Constructing
73(1)
4.1.3 Fast Group Joining
74(1)
4.2 False-Positive Analysis
75(9)
4.2.1 False-Positive Forwarding on an Interface
76(1)
4.2.2 Forwarding Loop Issue of FRM
77(2)
4.2.3 Theoretical Analysis of AOM on Loops
79(2)
4.2.4 Complete Loop Elimination in AOM
81(3)
4.3 Incremental Deployability
84(3)
4.4 Performance Evaluation
87(13)
4.4.1 Simulation Setup
87(1)
4.4.2 Memory Overhead
88(1)
4.4.3 Bandwidth Overhead
89(4)
4.4.4 Joining Delay
93(1)
4.4.5 AOM Scalability Under False Positives
94(3)
4.4.6 Incremental Deployability
97(3)
4.5 Summary
100(3)
References
100(3)
5 AOM-Assisted Zapping Acceleration for IPTV
103(28)
5.1 Zapping Acceleration in IPTV Systems
104(2)
5.2 MAZA
106(1)
5.3 Theoretical Analysis of the TSS-Based Model
107(8)
5.3.1 Operation Pattern of TSS-Based Model
108(1)
5.3.2 Optimal Subchannel Data Rate
109(1)
5.3.3 Start-Up Effect
110(2)
5.3.4 Delay Bound Guarantee
112(3)
5.4 AAZA: AOM-Assisted Zapping Acceleration
115(6)
5.4.1 TSS-Based Model Facilitated by AOM
115(3)
5.4.2 Performance Analysis
118(3)
5.5 Simulation Results
121(7)
5.5.1 Visual Effect
121(1)
5.5.2 First I-Frame Delay
122(1)
5.5.3 Optimal Subchannel Data Rate
123(3)
5.5.4 Signaling Delay Effect
126(1)
5.5.5 Control Messages Overhead
126(2)
5.5.6 Data Forwarding Overhead
128(1)
5.6 Summary
128(3)
References
130(1)
6 Generic AON (GAON) Simulation Framework
131(16)
6.1 GAON: An Overview
131(3)
6.1.1 GAON Framework
131(1)
6.1.2 GAON Node Model
132(2)
6.2 GAON Interfaces to ns-2
134(4)
6.2.1 Scenario Control Interface
134(1)
6.2.2 Installing GAON Components in an ns-2 Node
135(1)
6.2.3 GAON Agent Classifier
136(1)
6.2.4 Interface to ns-2 Routing Table
137(1)
6.3 Implementation of AOM Under GAON
138(8)
6.3.1 Packet Header
140(1)
6.3.2 Application-Layer AOM Agent
141(3)
6.3.3 Network-Layer AOM Agent
144(2)
6.4 Summary
146(1)
References
146(1)
7 Conclusions and Open Research Issues
147(6)
7.1 Conclusions
147(2)
7.2 Open Research Issues
149(4)
Index 153
XIAOHUA TIAN received his B.E. and M.E. degrees in communication engineering from Northwestern Polytechnical University, Xian, China, in 2003 and 2006, respectively. He received his Ph.D. degree in the Department of Electrical and Computer Engineering (ECE), Illinois Institute of Technology (IIT), Chicago, in Dec. 2010. He is currently a research associate in the Department of Electronic Engineering at Shanghai Jiaotong University, China. He won the Highest Standards of Academic Achievement 2011 of IIT, Fieldhouse Research Fellowship 2009 of IIT, which is awarded to only one student at IIT each year, and the IEEE EFSOI 2010 Student Travel Grant Award. His research interests include application-oriented networking, Internet of Things and wireless networks. He serves as the publicity co-chair of the 7th International Conference on Wireless Algorithms, Systems and Applications (WASA 2012). He also serves as the Technical Program Committee member for Communications QoS, Reliability, and Modeling Symposium (CQRM) of GLOBECOM 2011, Wireless Networking of GLOBECOM 2013 and WASA 2011.Tian is currently a research associate in Shanghai Jiao Tong University, China





YU CHENG has been with the Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois, USA, as an Assistant Professor, since 2006.