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As more organizations rapidly adopt cloud services, energy consumption in data centers (DCs) is increasing such that today Information and Communication Technology (ICT) has become a major consumer of energy. A large portion of ICT energy consumption is used to power servers running in DCs and the network they use to communicate. In this study, we consider that, often, energy cost at a particular...
In this paper, a novel technique is proposed to determine optimal size and location of shunt capacitors in radial distribution system. An objective function is formulated to reduce real & reactive power loss, to improve voltage profile and to increase annual cost saving. A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed here. The value of PVSC decides the candidate bus...
We consider a scenario in which a controller and an adversary dynamically act on a system over a finite or infinite horizon. The controller and the adversary do not want to reveal their actions to each other, and at the same time, the controller acts to minimize an expected cost, and the adversary acts to maximize it. We model this scenario as a dynamic zero-sum game, prove the existence of a unique...
Infinite-horizon average-cost Markov decision processes are of interest in many scenarios. A dynamic programming algorithm, called the relative value iteration, is used to compute the optimal value function. For large state spaces, this often runs into difficulties due to its computational burden. We propose a simulation-based dynamic program called empirical relative value iteration (ERVI). The idea...
Cloud computing is a dynamic, scalable and payper-use distributed computing model empowering designers to convey applications amid job designation and storage distribution. Cloud computing encourages to impart a pool of virtualized computer resource empowering designers to convey applications amid job designation and storage distribution. The cloud computing mainly aims to give proficient access to...
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