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Advances in Computer and Computational Sciences pp 181–195Cite as

Load Balancing Tools and Techniques in Cloud Computing: A Systematic Review

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 554))

Abstract

The cloud computing is an up-and-coming computing standard, which offers large-scale distributed computing environment to share information and other resources as per users demand. Load balancing is a central challenge of the cloud computing, which requires distributing work load fairly across all the nodes for the better use of available resources. This research paper is a systematic review with a comparative study on existing techniques and tools for load balancing. Load balancing metric parameters (reaction time, fault tolerance, scalability, throughput, etc.) were used to evaluate the performance of existing techniques for comparison. Further, we have discussed virtualization of the cloud and its types for optimal resource utilization.

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Authors and Affiliations

  1. Department of Computer Science, A.M.U, Aligarh, India

    Mohammad Oqail Ahmad & Rafiqul Zaman Khan

Authors
  1. Mohammad Oqail Ahmad
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  2. Rafiqul Zaman Khan
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Corresponding author

Correspondence to Mohammad Oqail Ahmad .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri, St. Louis, Missouri, USA

    Sanjiv K. Bhatia

  2. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  3. CSED, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Department of Computer Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Vivek Kumar Singh

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© 2018 Springer Nature Singapore Pte Ltd.

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Ahmad, M.O., Khan, R.Z. (2018). Load Balancing Tools and Techniques in Cloud Computing: A Systematic Review. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 554. Springer, Singapore. https://doi.org/10.1007/978-981-10-3773-3_18

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  • DOI: https://doi.org/10.1007/978-981-10-3773-3_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3772-6

  • Online ISBN: 978-981-10-3773-3

  • eBook Packages: EngineeringEngineering (R0)

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