NDLI: Strategic network coding — How much and where to code to obtain most of the benefits

Content Provider	IEEE Xplore Digital Library
Author	Gourdin, E. Yuhui Wang Medard, M.
Copyright Year	2013
Description	Author affiliation: France Telecom, Orange Labs., Issy-les-Moulineaux, France (Gourdin, E.; Yuhui Wang) \|\| Res. Lab. for Electron., Massachusetts Inst. of Technol., Cambridge, MA, USA (Medard, M.)
Abstract	We consider the problem of introducing network coding in a network in a manner that balances the benefits obtained from coding with the costs of providing coding, where such costs depend both on the number of nodes performing coding and the volume of traffic that is coded. Previous work has envisaged either the minimization of the number of nodes performing coding, which is a NP-hard problem, or the trade-off between the volume of the coded traffic and the throughput gains obtained from coding. We provide an optimization framework that considers both parameters jointly and also considers the use of duplication versus coding at nodes. Traffic is multicast in a hybrid way that combines a tree with a coded multicast graph. Our results indicate that the gains of coding, which increase markedly with graph density, can be obtained with very few nodes' performing coding, but that most, though by no means all, traffic in a multicast session should be coded for the bulk of the throughput gains to be achieved for that session. Moreover, our results indicate that an optimized hybrid approach based on trees and network coded graphs may differ considerably from a mere combination of the result of optimizing for multicast trees only or for a coded solution alone.
Starting Page	1
Ending Page	7
File Size	696068
Page Count	7
File Format	PDF
ISBN	9781479908219
e-ISBN	9781479908233
DOI	10.1109/NetCod.2013.6570838
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-07
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Network coding Throughput Routing Encoding Decoding Optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Does network coding improve the throughput of a survivable multicast network ?

Overlapped Chunked network coding

Some further investigation on maximum throughput: Does network coding really help ?

Improving unsegmented network coding for opportunistic routing in wireless mesh network

Improving of Load-Balanced Self-Routing Switch by Network Code

Impact of traffic pattern on benefits of practical Multi-hop Network Coding in wireless networks

A New Network Coding Based Routing Protocol for Enhancing Throughput Capacity in Wireless Mesh Networks

Maximum multicast throughput by network coding on undirected hypernetworks

Towards Coding-Efficient Link-Scheduling and Coding-Aware Routing in Wireless Networks

Strategic network coding — How much and where to code to obtain most of the benefits

Similar Documents

Does network coding improve the throughput of a survivable multicast network ?

Overlapped Chunked network coding

Some further investigation on maximum throughput: Does network coding really help ?

Improving unsegmented network coding for opportunistic routing in wireless mesh network

Improving of Load-Balanced Self-Routing Switch by Network Code

Impact of traffic pattern on benefits of practical Multi-hop Network Coding in wireless networks

A New Network Coding Based Routing Protocol for Enhancing Throughput Capacity in Wireless Mesh Networks

Maximum multicast throughput by network coding on undirected hypernetworks

Towards Coding-Efficient Link-Scheduling and Coding-Aware Routing in Wireless Networks

Strategic network coding — How much and where to code to obtain most of the benefits