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Analyzing Balancing of Heterogeneous Load on Cluster-Based Web Server

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Data Science and Analytics (REDSET 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1229))

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Abstract

With increasing workload experienced by many websites, distributed web-server cluster has become a popular choice for site managers to expand the capacity of the webserver system. A web-server cluster consists of multiple web servers with a load distribution scheme to spread client requests among servers. This report focuses on dispatcher-based architecture. We study the performances of different scheduling algorithms by means of trace-driven simulation and then propose a more time-efficient approach for heterogeneous loads.

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Author information

Authors and Affiliations

  1. Amity University, Tashkent, Uzbekistan

    Praveen Kumar

  2. Amity University, Noida, Uttar Pradesh, India

    Garvit Singhal & Seema Rawat

Authors
  1. Praveen Kumar
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  2. Garvit Singhal
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  3. Seema Rawat
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Corresponding authors

Correspondence to Praveen Kumar or Garvit Singhal .

Editor information

Editors and Affiliations

  1. GD Goenka University, Gurugram, India

    Usha Batra

  2. GD Goenka University, Sohna, Haryana, India

    Nihar Ranjan Roy

  3. University of Arkansas, Fayetteville, AR, USA

    Brajendra Panda

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© 2020 Springer Nature Singapore Pte Ltd.

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Kumar, P., Singhal, G., Rawat, S. (2020). Analyzing Balancing of Heterogeneous Load on Cluster-Based Web Server. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1229. Springer, Singapore. https://doi.org/10.1007/978-981-15-5827-6_37

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  • DOI: https://doi.org/10.1007/978-981-15-5827-6_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5826-9

  • Online ISBN: 978-981-15-5827-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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