C. Klein, M. Maggio, Karl-Erik Årzén, F. Hernández-Rodriguez
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Managing the resources of a virtualized data-center is a key issue in cloud computing [1]. Existing research mostly assumes that applications are either allocated the required resources or fail [2--15]. Combined with the fact that most cloud applications have dynamic resource requirements [16], this imposes a fundamental limitation to cloud computing: To guarantee on-demand resource allocations, the data-center needs large spare capacity, leading to inefficient resource utilization.
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