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Anatomy of Virtual Machine Placement Techniques in Cloud

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Micro-Electronics and Telecommunication Engineering (ICMETE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 373))

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Abstract

With consistent advancement in virtualization techniques, organizations are building up enhanced datacenters that are capable of maintaining impactful resource management, high-performance benchmarks, and controlled power consumption for eco-friendly computing. Virtual machine placement problem has a significant part in designing the datacenters. Placing virtual machines in the cloud can be very profitable and beneficial but it can be the cause of many new problems, if not performed properly. It comprises multiple complex relations and designing factors that directly affect the operating cost of datacenters. It bridges up the customers with cloud administrators to obtain preferences and SLA of both, to bring out an optimal solution. As optimization has given a boost to many businesses, an efficiently optimized VM placement technique has got a lot of potentials and can bring a drastic rise for many organizations running toward the cloud. A comprehensive study has been performed to bring out the important traits of different VM placement solutions by surveying cloud literature. By assessing the capabilities and objectives of different approaches and techniques, this paper presents an in-depth comparison, unveiling the drawbacks, and suggestions to improvise the methods in this direction.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, School of Computing & Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Chayan Bhatt & Sunita Singhal

Authors
  1. Chayan Bhatt
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  2. Sunita Singhal
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Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ghaziabad, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Taipei, Taiwan

    Sheng-Lung Peng

  3. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ghaziabad, India

    Rohit Sharma

  4. Odessa State Environmental University, Odessa, Ukraine

    Dmitry A. Zaitsev

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Bhatt, C., Singhal, S. (2022). Anatomy of Virtual Machine Placement Techniques in Cloud. In: Sharma, D.K., Peng, SL., Sharma, R., Zaitsev, D.A. (eds) Micro-Electronics and Telecommunication Engineering . ICMETE 2021. Lecture Notes in Networks and Systems, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-16-8721-1_59

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  • DOI: https://doi.org/10.1007/978-981-16-8721-1_59

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8720-4

  • Online ISBN: 978-981-16-8721-1

  • eBook Packages: EngineeringEngineering (R0)

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