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Nowadays, since devices can find more than one access point (AP) in wireless local area networks (WLANs), we are supposed to choose the access point which tends to provide the best performance based on the kind of usage for which it is specified. Currently, in order to select the most appropriate AP, computers utilize the received signal strength which is(More)
Energy consumption is a major concern for today's data centers. MapReduce is a cloud computing paradigm that is widely deployed in many data centers. In this paper, we propose EnergyMap, a novel energy-efficient embedding method that maps heterogeneous MapReduce-based virtual networks onto a heterogeneous data center network. EnergyMap also tries to(More)
Energy consumption in Information and Communication Technology (ICT) is 10% of the total energy consumed in industrial countries. Recently, Virtualized Network Environment (VNE) has been emerged in this technology. Therefore, it is essential to develop novel techniques that reduce VNE's energy consumption. In this paper, we formulate a Binary Integer Linear(More)
Nowadays, since devices can fi nd more than one access point (AP) in wireless local area networks (WLANs), we are supposed to choose the access point which tends to provide the best performance based on the kind of usage for which it is specifi ed. Currently, in order to select the most appropriate AP, computers use the received signal strength which is(More)
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