Prediction Based Policies for Efficient Selection of Cloud Data Center

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Centers
Format: PDF
Cloud computing has a variety of computing resources to facilitate the execution of large-scale tasks. Therefore, to select appropriate data center for executing a task is an important parameter to improve the performance of cloud computing environment. In present condition, available policies for data center selection are round-robin, least connection, weighted least connection and so on. But they have some disadvantages like they did not focus on data centers load as well as weight has fixed value depending on the performance of data center. So, the authors require more advance policies to improve the performance.
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