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Evolutionary Based Solutions for Green Computing pp 95–138Cite as

Energy and Security Awareness in Evolutionary-Driven Grid Scheduling

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 432))

Abstract

Ensuring the energy efficiency, thermal safety, and security-awareness in today’s large-scale distributed computing systems is one of the key research issues that leads to the improvement of the system scalability and requires researchers to harness an understanding of the interactions between the system external users and the internal service and resource providers. Modeling these interactions can be computationally challenging especially in the infrastructures with different local access and management policies such as computational grids and clouds. In this chapter, we approach the independent batch scheduling in Computational Grid (CG) as a three-objective minimization problem with Makespan, Flowtime and energy consumption in risky and security scenarios. Each physical resource in the system is equipped with Dynamic Voltage Scaling (DVS) module for optimizing the cumulative power energy utilized by the system. The effectiveness of six genetic-based single- and multi-population grid schedulers has been justified in comprehensive empirical analysis.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Cracow University of Technology, ul.Warszawska 24, 31-155, Cracow, Poland

    Joanna Kołodziej

  2. Department of Electrical and Computer Engineering, North Dakota State University, ND, 58108, Fargo, USA

    Samee U. Khan

  3. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, China

    Lizhe Wang

  4. China University of Geosciences, Wuhan, China

    Dan Chen

  5. School of Information Technologies, University of Sydney, Sydney, NSW, 2006, Australia

    Albert Y. Zomaya

Authors
  1. Joanna Kołodziej
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  2. Samee U. Khan
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  3. Lizhe Wang
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  4. Dan Chen
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  5. Albert Y. Zomaya
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Corresponding author

Correspondence to Joanna Kołodziej .

Editor information

Editors and Affiliations

  1. , Department of Electrical and Computer, North Dakota State University, Fargo, 58108-6050, North Dakota, USA

    Samee Ullah Khan

  2. Institute of Computer Science, Cracow University of Technology, ul. Warszawska 24, Cracow, 31-155, Poland

    Joanna Kołodziej

  3. , Department of Computer Science, North Dakota State University, Fargo, 58108-6050, North Dakota, USA

    Juan Li

  4. School of Information Technologies, University of Sydney, Sydney, 2006, New South Wales, Australia

    Albert Y. Zomaya

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Kołodziej, J., Khan, S.U., Wang, L., Chen, D., Zomaya, A.Y. (2013). Energy and Security Awareness in Evolutionary-Driven Grid Scheduling. In: Khan, S., Kołodziej, J., Li, J., Zomaya, A. (eds) Evolutionary Based Solutions for Green Computing. Studies in Computational Intelligence, vol 432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30659-4_4

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  • DOI: https://doi.org/10.1007/978-3-642-30659-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30658-7

  • Online ISBN: 978-3-642-30659-4

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