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An Efficient Resource Allocation Mechanism Using Intelligent Scheduling for Managing Energy in Cloud Computing Infrastructure

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Information and Communication Technology for Competitive Strategies (ICTCS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 401))

Abstract

We hit the issue of conservation of energy in cloud data centers with the effective utilization of resources used for the completion of tasks in cloud. Here, we consider the virtual machine requirements and task completion time of process. We model the system based on the process priority and task completion with the availability of resources for intelligent scheduling. Based on the scheduling algorithm, the energy efficiency and performance got increased. Then, we can reduce the power and cost of maintenance using the proposed methodology.

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Author information

Authors and Affiliations

  1. Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India

    M. Karuppasamy

  2. Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India

    M. Jansi Rani

  3. Velammal College of Engineering and Technology, Madurai, India

    M. Prabha

Authors
  1. M. Karuppasamy
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  2. M. Jansi Rani
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  3. M. Prabha
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Corresponding author

Correspondence to M. Karuppasamy .

Editor information

Editors and Affiliations

  1. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  2. School of Computer Science, Shaanxi Normal University, Xi’an, China

    Juanying Xie

  3. IIS University, Jaipur, India

    Vijay Singh Rathore

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Karuppasamy, M., Jansi Rani, M., Prabha, M. (2023). An Efficient Resource Allocation Mechanism Using Intelligent Scheduling for Managing Energy in Cloud Computing Infrastructure. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2021). Lecture Notes in Networks and Systems, vol 401. Springer, Singapore. https://doi.org/10.1007/978-981-19-0098-3_9

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  • DOI: https://doi.org/10.1007/978-981-19-0098-3_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0097-6

  • Online ISBN: 978-981-19-0098-3

  • eBook Packages: EngineeringEngineering (R0)

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