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MWAMLB: Modified Weighted Active Load Balancing Algorithm

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Recent Innovations in Computing (ICRIC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 701))

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Abstract

With the fast growth of technology and users, cloud computing has become an important IT paradigm where the resources are available online and on fly. Cloud computing is known for handling large amount of storage and computation data. In the cloud environment, the distinguishing feature of easy availability of resources makes their management a challenging task. One of the most important tasks is the balancing of the load among different virtual machines which in turn leads to proper utilization of resources and good response time. Many researchers have addressed the problem of resource provisioning, but the proactive approach has been gaining a lot of attention in recent years. The resource provisioning can be achieved either by allocating the resources judiciously or by predicting the demand in advance. The traditional methods make use of random selection of virtual machines(VMs) for load balancing. In this research work, a Modified Weighted Active Load Balancing framework (MWAMLB) has been offered with the emergence of cloud computing. The main objective of the MWAMLB framework is to improve the response time of the VM by selecting the virtual machine with maximum weight (W). The weight factor is being calculated on the basis of the availability of RAM, bandwidth and MIPS. The MWAMLB framework have been proposed, implemented and validated in this research paper.

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Authors and Affiliations

  1. Department of Computer Science & IT, Central University of Jammu, Jammu, India

    Bhagyalakshmi & Deepti Malhotra

Authors
  1. Bhagyalakshmi
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  2. Deepti Malhotra
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Corresponding author

Correspondence to Bhagyalakshmi .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Pradeep Kumar Singh

  2. Central University of Jammu, Jammu and Kashmir, India

    Yashwant Singh

  3. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

    Maheshkumar H. Kolekar

  4. Department of Management Sciences, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Arpan Kumar Kar

  5. Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Jitender Kumar Chhabra

  6. Department of Computer Science and Information Technology, Kwantlen Polytechnic University, Surrey, BC, Canada

    Abhijit Sen

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Bhagyalakshmi, Malhotra, D. (2021). MWAMLB: Modified Weighted Active Load Balancing Algorithm. In: Singh, P.K., Singh, Y., Kolekar, M.H., Kar, A.K., Chhabra, J.K., Sen, A. (eds) Recent Innovations in Computing. ICRIC 2020. Lecture Notes in Electrical Engineering, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-15-8297-4_51

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  • DOI: https://doi.org/10.1007/978-981-15-8297-4_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8296-7

  • Online ISBN: 978-981-15-8297-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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