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We study the dynamic energy optimization problem in data centers. We formulate and solve the following offline problem: given a set of jobs to process, where the jobs are characterized by arrival instances, required processing time, and completion deadlines, and given the energy requirements of switching servers ON or OFF, in which time-slot which server has to be assigned to which job, and in which...
One of the most important practical and timely operational problem associated with the performance of data centers for cloud computing is energy consumption. The fundamental approach for saving energy in a data center is right-sizing the number of servers, i.e., the determination of the minimum required number of servers to meet the load demand, allowing unnecessary servers to be turned off, so that...
Recent advances in computing and communication enable the concept of smart homes that contain programmable appliances. Knowing that most household tasks do not need to be performed at specific times, but rather within a preferred time period, this paper studies the problem of optimal power generation scheduling in an isolated Microgrid, exploiting the flexibility to schedule energy-consuming tasks...
Broadcast is a fundamental operation in networks, especially in reconfigurable wireless ad hoc networks. For example, some form of broadcasting is used by all on-demand mobile networks routing protocols, when there is uncertainty as to the location of the destination node, or for service discovery. In this work, we present a new approach to efficient broadcast in networks with dynamic topologies,...
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