DocumentCode :
2438066
Title :
Optimizing File Retrieval in Delay-Tolerant Content Distribution Community
Author :
Huang, Ying ; Gao, Yan ; Nahrstedt, Klara ; He, Wenbo
Author_Institution :
Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2009
fDate :
22-26 June 2009
Firstpage :
308
Lastpage :
316
Abstract :
In WiFi-based content distribution community infrastructure (CDCI), file servers are deployed in diverse locations around cities, caching popular files interesting to a community. They serve file download requests from mobile users in proximity via WiFi. In this paper, we study the optimal caching strategy for file servers in CDCI so that the mean file retrieval probability within deadline is maximized, subject to storage capacity constraints of each file server. The optimal caching strategy depends on many factors, such as users´ mobility patterns, access point topology, file popularity, etc. We have formalized this content management problem as a mixed integer optimization problem. Because of NPhardness and a large variable space of this optimization problem, we propose a heuristic algorithm MobaSsign to allocate file blocks. Extensive experiments show that our heuristic caching strategy considering mobility patterns improves the file retrieval probability within deadline.
Keywords :
computational complexity; file servers; optimisation; telecommunication network topology; wireless LAN; MobaSsign; NPhardness; WiFi-based content distribution community infrastructure; access point topology; content management problem; delay-tolerant content distribution community; file blocks; file popularity; file servers; mean file retrieval probability; mixed integer optimization problem; mobility patterns; optimal caching strategy; storage capacity constraints; Content based retrieval; Delay; Content Distribution; Delay Tolerant Network; Mobility Pattern; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems, 2009. ICDCS '09. 29th IEEE International Conference on
Conference_Location :
Montreal, QC
ISSN :
1063-6927
Print_ISBN :
978-0-7695-3659-0
Electronic_ISBN :
1063-6927
Type :
conf
DOI :
10.1109/ICDCS.2009.63
Filename :
5158439
Link To Document :
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