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UID:111@lincs.fr
DTSTART;TZID=Europe/Paris:20150204T153000
DTEND;TZID=Europe/Paris:20150204T163000
DTSTAMP:20170313T171204Z
URL:https://www.lincs.fr/events/optimal-content-prefetching-cloud-assisted
 -content-delivery/
SUMMARY:Optimal content prefetching for cloud assisted content delivery
DESCRIPTION:Motivated by improved models for content workload prediction\,
 in this paper we consider the problem of dynamic content allocation for a
 hybrid content delivery system that combines cloud-based storage with low
 cost dedicated servers that have limited storage and unmetered upload
 bandwidth. We formulate the problem of allocating contents to the dedicated
 storage as a finite horizon dynamic decision problem\, and show that a
 discrete time decision problem is a good approximation forpiecewise
 stationary workloads. We provide an exact solution to the discrete time
 decision problem in the form of a mixed integer linear programming
 problem\, propose computationally feasible approximations\, and give bounds
 on their approximation ratios. Finally\, we evaluate the algorithms using
 synthetic and measured traces from a commercial music on-demand service and
 give insight into their performance as a function of the workload
 characteristics.
CATEGORIES:Seminars
LOCATION:LINCS Meeting Room 40\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.8283983;2.3568972000000485
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TZID:Europe/Paris
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DTSTART:20141026T020000
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