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L. S. S. Reddy
K L E Foundation
Computer Science & IT Electrical & Electronics Engineering

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An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Network and Overloads Kavita A. Sultanpure; L. S. S. Reddy
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 2: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.755 KB) | DOI: 10.11591/ijece.v8i2.pp1018-1027

Abstract

Energy consumption in cloud computing occur due to the unreasonable way in which tasks are scheduled. So energy aware task scheduling is a major concern in cloud computing as energy consumption results into significant waste of energy, reduce the profit margin and also high carbon emissions which is not environmentally sustainable. Hence, energy efficient task scheduling solutions are required to attain variable resource management, live migration, minimal virtual machine design, overall system efficiency, reduction in operating costs, increasing system reliability, and prompting environmental protection with minimal performance overhead. This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads.
Co-Authors Kavita A. Sultanpure