An Optimal Multimedia Object Allocation Solution in Transcoding-Enabled Wide-Area Storage Systems

Together with the information explosion era comes the prob-lem of high energy consumption in data centers. Among the various components of a data center, storage is one of the biggest energy consumers. Many efforts have been put on reducing energy consumptions of data centers/storage systems, from server workflow management to storage data allocation. However, most works focus on local storage sys-tems and pay no attention to other structures of storage sys-tems. With the exponential expanding on both the depth and width of the Internet, wide-area storage systems at-tract more and more attention as they are reliable, load-balancing, and easy to collaborate. In this paper, we study the energy consumption in wide-area storage systems by us-ing multimedia objects as our special application area. We develop a multimedia object distributing algorithm based on the access pattern to multimedia objects and the topology of storage systems. We also present an in-depth analysis that provides valuable insight into the characteristics of multi-media object distribution strategies and leads to precision guarantees