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Nature Inspired Computing pp 157–163Cite as

Assessment on VM Placement and VM Selection Strategies

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 652))

Abstract

Cloud Computing is captivating many organizations and individuals because it provides a framework where the user can access diverse resources such as applications, storage capacity, network bandwidth, and many resources. Cloud users rent the resources that they need from the cloud provider. The optimum allocation of resources to the users in a dynamic environment is a major challenge for the cloud providers. Virtualization technology in Cloud enables allocation of resources to the end user applications in Cloud by hosting numerous Virtual Machines on a single host. There are number of approaches to decide the placement of Virtual Machines to the various hosts. As numbers of applications are submitted by the users, some of the hosts become overloaded and some become under loaded. As a result, some of the user applications hosted on a Virtual Machine of one host needs to be transferred to another Virtual Machine of another host. The migration of Virtual Machines from one host to another needs to be minimized to improve the response time, turnaround time for an end user application. This paper addresses the various VM placement and VM selection algorithms and their scope of improvement.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Noida, Uttar Pradesh, India

    Neeru Chauhan & Nitin Rakesh

  2. IIIT, Guwahati, India

    Rakesh Matam

Authors
  1. Neeru Chauhan
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  2. Nitin Rakesh
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  3. Rakesh Matam
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Corresponding author

Correspondence to Neeru Chauhan .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

  2. Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi, Delhi, India

    M. N. Hoda

  3. Department of Computer Science and IT, University of Jammu, Jammu, Jammu and Kashmir, India

    Vinod Sharma

  4. Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi, Delhi, India

    Shivendra Goel

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© 2018 Springer Nature Singapore Pte Ltd.

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Chauhan, N., Rakesh, N., Matam, R. (2018). Assessment on VM Placement and VM Selection Strategies. In: Panigrahi, B., Hoda, M., Sharma, V., Goel, S. (eds) Nature Inspired Computing. Advances in Intelligent Systems and Computing, vol 652. Springer, Singapore. https://doi.org/10.1007/978-981-10-6747-1_18

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  • DOI: https://doi.org/10.1007/978-981-10-6747-1_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6746-4

  • Online ISBN: 978-981-10-6747-1

  • eBook Packages: EngineeringEngineering (R0)

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