Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing

Abstract

Data center is a cost-effective infrastructure for storing large volumes of data and hosting large-scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. Thus, optimizing the energy consumption of servers and networks in data centers can reduce operational costs. In a data center, power consumption is mainly due to servers, networking devices, and cooling systems, and an effective energy-saving strategy is to consolidate the computation and communication into a smaller number of servers and network devices and then power off as many unneeded servers and network devices as possible.

Market Competition and Economic Effects of Government Policies

“…Only by doing so, the costs of production and marketing can be potentially lowered, the possible maximum selling price can be raised, and the range of boundary conditions can be expanded. In short, to fortify its existing market territory, the firm has to transcend pricing strategies by finding ways to improve its efficiencies of management and resources (Manjunatha & Suresh, 2021).…”