DocumentCode
2413438
Title
Knowledge Dissemination for Autonomic Network
Author
Souihi, Sami ; Mellouk, Abdelhamid
Author_Institution
Dept. of Networks & Telecoms, Univ. of Paris Est Creteil (UPEC), Vitry-sur-Seine, France
fYear
2011
fDate
5-9 June 2011
Firstpage
1
Lastpage
5
Abstract
Autonomic computing is a new paradigm inspired by the biological world. It allows networks to self-organize control decisions. To ensure an efficient self-organization, an autonomic network must define a new distributed and decentralized plane containing all the network knowledge, called "knowledge plane". In this paper, we propose a new knowledge dissemination mechanisms in order to maintain this knowledge plane. The developed approach is composed by three modules to address scalability and interoperability issues: (1) cluster the network nodes and elect a leader for each cluster to contain the knowledge, (2) use an overlay network to disseminate knowledge between leaders for interoperability concerns and, (3)disseminate only useful knowledge to nodes in each cluster to reduce the amount of knowledge to be distributed. To evaluate our approach, we construct a knowledge plan based on QoE measurement. Numerical results obtained for IPTV different traffics level merged on operators network show that our approach improves clearly performances regarding load balancing charges.
Keywords
IPTV; computer networks; fault tolerant computing; open systems; pattern clustering; IPTV; QoE measurement; autonomic computing; autonomic network; interoperability; knowledge dissemination mechanisms; knowledge plane; network knowledge; overlay network; self-organize control decisions; Clustering algorithms; Complexity theory; Error analysis; Knowledge engineering; Peer to peer computing; Scalability; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2011 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1550-3607
Print_ISBN
978-1-61284-232-5
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/icc.2011.5962880
Filename
5962880
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