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Comparative Analysis of Different Load Balancing Algorithm Using Cloud Analyst

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Data Science and Analytics (REDSET 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 799))

Abstract

Cloud computing is the emerging trend for effective allocation of hardware, platform and software over the internet, but there are many advantages and disadvantages of using cloud computing in today’s world. The main features of cloud computing are reduced cost, uninterrupted pervasive accessibility, backup retrieval, throughput and efficiency and improved storage competence. Data security, privacy, cloud infrastructure, monitoring and load balancing are also the major concern. This paper focuses on load balancing for improving the performance of the resources available and distributes the load uniformly across the servers.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Faridabad, India

    Meeta Singh, Poonam Nandal & Deepa Bura

Authors
  1. Meeta Singh
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  2. Poonam Nandal
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  3. Deepa Bura
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Corresponding author

Correspondence to Meeta Singh .

Editor information

Editors and Affiliations

  1. University of Arkansas, Fayetteville, AR, USA

    Brajendra Panda

  2. GD Goenka University, Gurugram, Haryana, India

    Sudeep Sharma

  3. GD Goenka University, Gurugram, Haryana, India

    Nihar Ranjan Roy

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Singh, M., Nandal, P., Bura, D. (2018). Comparative Analysis of Different Load Balancing Algorithm Using Cloud Analyst. In: Panda, B., Sharma, S., Roy, N. (eds) Data Science and Analytics. REDSET 2017. Communications in Computer and Information Science, vol 799. Springer, Singapore. https://doi.org/10.1007/978-981-10-8527-7_26

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  • DOI: https://doi.org/10.1007/978-981-10-8527-7_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8526-0

  • Online ISBN: 978-981-10-8527-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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