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Power management of cloud data centers has received great attention from industry and academia as they are expensive to operate due to their high energy consumption. While hosts are dominant to consume electric power, networks account for 10 to 20 percent of the total energy costs in a data center. Resource overbooking is one way to reduce the usage of active hosts and networks by placing more requests...
Cloud computing controls the increasing energy consumption of applications by consolidating them in shared servers through virtualization. This technique can be greatly improved and complemented by choosing an optimal data center for each Virtual Machine (VM). That dynamic optimization problem was stated as a Mixed Integer Linear Programming (MILP) model that minimizes operational expenditures, while...
Efforts to reduce power consumption in telecommunication networks follow in two mutually related directions — design of a more efficient equipment and development of energy-aware network control strategies and protocols. The paper presents a formulation of two-criteria traffic engineering problem, which takes advantage of energy saving capabilities in software routers. The first optimization criterion...
We introduce a sensor network to measure the individual power consumption of a large number of network elements in near-real time. A main application of this system is to obtain profiles of the power usage of network elements, i.e., a parameterization of power consumption with respect to workload. We discuss the design and implementation of both hardware and software aspects of the system as well...
Over 500 million host computers, three billion PCs and mobile devices consume over a billion kilowatts of electricity. As part of this ldquosystemrdquo computer networks consume an increasing amount of energy, and help reduce energy expenditure from other sources through e-work, e-commerce and e-learning. Traditionally, network design seeks to minimise network cost and maximise quality of service...
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