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Green Algorithm for Virtualized Cloud Systems to Optimize the Energy Consumption

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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 324))

Abstract

In recent days, most of the cloud users request data center in the cloud environment by applying an exhaustive data-centric workflows which leads to the major energy consumption. The major energy breaks out from the data center and makes way to CO2 emission which impacts the global warming. In this paper, we introduce optimized energy utilization in deployment and forecast (OEUDF) for data-intensive workflows in virtualized cloud systems which help to reduce the energy in the cloud workflow environment. In this approach, initially, we compute the optimal data-accessing energy path (ODEP) which helps us to deploy and configure the virtual machines; secondly, it computes the rank, according to that it will schedule the workflow activities in the cloud environment. If any unscheduled activities are in the submission pool, then OEUDF finds the suitable virtual machine and reconfigures the data center by minimizing the energy utilization. The experiment result indicates that the proposed algorithm gradually reduces the energy consumption.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita University, Coimbatore, Tamilnadu, India

    P. Prakash & Shriram K. Vasudevan

  2. Department of Computer Science and Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, India

    G. Kousalya

  3. Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India

    K. S. Sangeetha

Authors
  1. P. Prakash
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  2. G. Kousalya
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  3. Shriram K. Vasudevan
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  4. K. S. Sangeetha
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Corresponding author

Correspondence to P. Prakash .

Editor information

Editors and Affiliations

  1. Electrical & Electronics Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India

    L. Padma Suresh

  2. Electrical and Electronics Engineering, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  3. Electrical Engineering, IIT Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Prakash, P., Kousalya, G., Vasudevan, S.K., Sangeetha, K.S. (2015). Green Algorithm for Virtualized Cloud Systems to Optimize the Energy Consumption. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 324. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2126-5_75

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  • DOI: https://doi.org/10.1007/978-81-322-2126-5_75

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2125-8

  • Online ISBN: 978-81-322-2126-5

  • eBook Packages: EngineeringEngineering (R0)

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