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Dynamic Content Allocation for Cloud-assisted Service of Periodic Workloads
KTH, School of Electrical Engineering (EES), Communication Networks.ORCID iD: 0000-0002-4876-0223
Linköping University.
2014 (English)In: INFOCOM, 2014 Proceedings IEEE, IEEE conference proceedings, 2014, 853-861 p.Conference paper (Refereed)
Abstract [en]

Motivated by improved models for content workloadprediction, in this paper we consider the problem of dynamiccontent allocation for a hybrid content delivery system thatcombines cloud-based storage with low cost dedicated serversthat have limited storage and unmetered upload bandwidth. Weformulate the problem of allocating contents to the dedicatedstorage as a finite horizon dynamic decision problem, and showthat a discrete time decision problem is a good approximation forpiecewise stationary workloads. We provide an exact solution tothe discrete time decision problem in the form of a mixed integerlinear programming problem, propose computationally feasibleapproximations, and give bounds on their approximation ratios.Finally, we evaluate the algorithms using synthetic and measuredtraces from a commercial music on-demand service and giveinsight into their performance as a function of the workload characteristics.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 853-861 p.
National Category
Communication Systems
Research subject
URN: urn:nbn:se:kth:diva-134814DOI: 10.1109/INFOCOM.2014.6848013ISI: 000361544200096ScopusID: 2-s2.0-84904430656OAI: diva2:668180
The 33rd Annual IEEE International Conference on Computer Communications (INFOCOM'14); Toronto, Canada, 27 April - May 2, 2014

QC 20150521

Available from: 2013-11-29 Created: 2013-11-29 Last updated: 2015-10-29Bibliographically approved

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