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Dynamic Content Allocation for Cloud-assisted Service of Periodic Workloads
Royal Institute of Technology (KTH), Stockholm, Sweden.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
2014 (English)In: INFOCOM 2014, IEEE , 2014, 853-861 p.Conference paper (Refereed)
Abstract [en]

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 for piecewise stationary workloads. We provide an exact solution to the discrete time decision problem in the form of a mixed integerlinear programming problem, propose computationally feasible approximations, and give bounds on their approximation ratios.Finally, we evaluate the algorithms using synthetic and measuredtraces from a commercial music on-demand service and give insight into their performance as a function of the workload characteristics.

Place, publisher, year, edition, pages
IEEE , 2014. 853-861 p.
National Category
Computer Science
URN: urn:nbn:se:liu:diva-108506ISI: 000361544200096OAI: diva2:730596
33rd Annual IEEE International Conference on Computer Communications (INFOCOM 2014), 27 April - 2 May 2014, Toronto, Canada
Available from: 2014-06-28 Created: 2014-06-28 Last updated: 2015-10-26Bibliographically approved

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Carlsson, Niklas
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Database and information techniquesThe Institute of Technology
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