DocumentCode :
2261951
Title :
Autonomic cache management in Information-Centric Networks
Author :
Sourlas, Vasilis ; Flegkas, P. ; Gkatzikis, Lazaros ; Tassiulas, L.
Author_Institution :
Dept. of Comput. & Commun. Eng., Univ. of Thessaly, Volos, Greece
fYear :
2012
fDate :
16-20 April 2012
Firstpage :
121
Lastpage :
129
Abstract :
Recent research efforts in the area of future networks indicate Information-Centric Networking (ICN) as the dominant architecture for the Future Internet. The main promise of ICN is that of shifting the communication paradigm of the internetworking layer from machine endpoints to information access and delivery. Optimized content dissemination and efficient caching of information is key to delivering on this promise. Moreover, current trends in management of future networks adopt a more distributed autonomic management architecture where management intelligence is placed inside the network with respect to traditional off-line external management systems. In this paper, we present an autonomic cache management approach for ICNs, where distributed managers residing in cache-enabled nodes decide on which items to cache. We propose three online cache management algorithms with different level of autonomicity and compare them with respect to performance, complexity, execution time and message exchange overhead. Our extensive simulation-based experimentation signifies the importance of network wide knowledge and cooperation.
Keywords :
Internet; cache storage; information dissemination; ICN; Internet; autonomic cache management; cache-enabled nodes; content dissemination optimization; distributed autonomic management architecture; distributed managers; execution time; information access; information caching; information delivery; information-centric networks; internetworking layer; machine endpoints; management intelligence; message exchange overhead; network management; off-line external management systems; online cache management algorithms; simulation-based experimentation; Bandwidth; Computational complexity; Computer architecture; Knowledge engineering; Peer to peer computing; Substrates;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Operations and Management Symposium (NOMS), 2012 IEEE
Conference_Location :
Maui, HI
ISSN :
1542-1201
Print_ISBN :
978-1-4673-0267-8
Electronic_ISBN :
1542-1201
Type :
conf
DOI :
10.1109/NOMS.2012.6211890
Filename :
6211890
Link To Document :
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