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Energy costs are becoming the fastest-growing element in datacenter operation costs. One basic approach to reduce these costs is to exploit the variation of electricity prices both temporally and geographically by moving computation to datacenters in which energy is available at a cheaper price. However, injudicious job migration between datacenters might increase the overall operation cost due to the bandwidth costs of transferring application state and data over the wide-area network. To address this challenge, the authors propose novel online algorithms for migrating batch jobs between datacenters, which handles the fundamental tradeoff between energy and bandwidth costs.
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