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Load balancing is important and major issue for cloud networks due to its elastic nature, user's unpredictable behavior and difficulty faced to foresee the request issued to the server. In order to efficiently utilize cloud resources, we are presenting a new methodology for dynamic resource allocation based on the suboptimal mechanism of aggregation i.e. GIT (greedy incremental tree). The technique...
Cloud computing allows users to access resources on demand. The size of data centers increase with the increasing demand for resources by users. Increase in the size of data centers is directly proportional to energy consumption. The total energy requirement has to be minimized by distributing virtual machine requests over data centers optimally, with the consideration of prices of distribution of...
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