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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 8, August 2014

Energy Efficient Request Pool for a Green Private Cloud Architecture with Global Collaboration

Vidya D. Chachar | Nandkumar P. Kulkarni ^[2]

Abstract: In the new era of ICT, cloud computing is in demand. As cloud usage increases day by day, energy consumption required for its infrastructure also increases drastically. So it is critical to study energy consumption in cloud system infrastructure. Green Cloud Computing is the need in industries and research areas. GCC has become critical focus on economic and environmental policies of the countries. Cloud computing has some energy consumption defects due to its own features. To achieve the stability in cloud computing, unusable nodes would cause energy consumption and waste of resources. Client in cloud system exists with the number of redundant computing resources. The workload between servers and clients are distributed, so that entire computing resources cannot utilize effectively. To minimize above challenges, many researchers provided different solutions, but rarely provided specific framework or algorithmic solution to achieve GCC. In the perspective of cloud infrastructure, the existing systems consider the energy consumption only at server side. This paper modified existing RSDBASC (Resources Sharing Dynamically Balancing Algorithm with the cloud Servers and Clients) Algorithm and implemented new energy efficient request pool algorithm in order to achieve more energy efficiency in the cloud infrastructure. Proposed system saves the energy consumption at server as well as client side, So that entire computing resources can utilize effectively. Thus proposed system outperforms existing system in terms of average access time, resource utilization and energy consumption. There is no client starvation in the proposed system. Proposed system is energy efficient as compared to existing system by a factor of 29 %.

Keywords: Energy Efficient Frameworks, Green Cloud Computing GCC, SCSN, Virtualization

Edition: Volume 3 Issue 8, August 2014,

Pages: 65 - 68

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