TY - GEN
T1 - Optimizing file retrieval in delay-tolerant content distribution community
AU - Ying, Huang
AU - Yan, Gao
AU - Nahrstedt, Klara
AU - Wenbo, He
PY - 2009
Y1 - 2009
N2 - 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 file retrieval probability within deadline is maximized, subject to storage constraint 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 NP-hardness 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.
AB - 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 file retrieval probability within deadline is maximized, subject to storage constraint 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 NP-hardness 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.
UR - http://www.scopus.com/inward/record.url?scp=70350219122&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350219122&partnerID=8YFLogxK
U2 - 10.1109/ICDCS.2009.63
DO - 10.1109/ICDCS.2009.63
M3 - Conference contribution
AN - SCOPUS:70350219122
SN - 9780769536606
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 308
EP - 316
BT - 2009 29th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS, 09
T2 - 2009 29th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS, 09
Y2 - 22 June 2009 through 26 June 2009
ER -