Advances in Computer Science and Information Technology. Networks and Communications. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part I

Research Article

An Analysis on Energy Efficient System Design in Grid Computing

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  • @INPROCEEDINGS{10.1007/978-3-642-27299-8_44,
        author={D. Ramesh and A. Krishnan},
        title={An Analysis on Energy Efficient System Design in Grid Computing},
        proceedings={Advances in Computer Science and Information Technology. Networks and Communications. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part I},
        proceedings_a={CCSIT PART I},
        year={2012},
        month={11},
        keywords={Grid Computing Power Management Energy Efficient System Design},
        doi={10.1007/978-3-642-27299-8_44}
    }
    
  • D. Ramesh
    A. Krishnan
    Year: 2012
    An Analysis on Energy Efficient System Design in Grid Computing
    CCSIT PART I
    Springer
    DOI: 10.1007/978-3-642-27299-8_44
D. Ramesh1,*, A. Krishnan2
  • 1: Anna University of Technology
  • 2: K.S. Rangasamy College of Technology
*Contact email: drameshphd@gmail.com

Abstract

The primary focus of research in computing systems has been on the improvement of the effective designon system performance. In order to fulfil this objective, the performance has been steadily growing driven by more efficient system design and algorithms. The performance of grid is improved in many aspect based on various research direction of last few year. In grid computing, load sharing is the major research issue. In addition to the load sharing, at present, the power management is attracting current researchers. This paper further explains basic power management scheme in the general computing as well as grid computing. And this paper strongly performed an analysis on various categories of real time grid systems. The power consumption on various grid levels based on multiple volumes in the organization level is analysed. The conclusion is focused the future requirement of research direction in the energy efficient system design of grid computing.