Green Aware Based VM-Placement in Cloud Computing Environment Using Extended Multiple Linear Regression Model

  • M. HemavathyEmail author
  • R. Anitha
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)


In recent years, because of the increase in the huge volume of data and increase in data analytics in various research areas like health care, image processing etc., it is highly needed to provide required resources for processing the information. Cloud computing process an approach for delivering required resources by improving the utilization of data-center resources which results in increasing the energy costs. In order to overcome this new energy-efficient algorithms are introduced, that decreases the overall energy consumption of computation and storage. To reduce the energy-efficiency in cloud data centers, server consolidation technique is used, which plays a major road block. To address this issue, this project proposes a Prediction based Thermal Aware Server Consolidation (PTASC) model, a consolidation method, which takes numeric and local architecture into consideration along with Service Level Agreement. PTASC, consolidates servers (VM Migration) using a statistical learning method.


VM Migration Overload Detection VM placement 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringSri Venkateswara College of EngineeringSriperumbudurIndia

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