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Heterogeneous Load Balancing using Predictive Load Summarization

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A Correction to this article was published on 09 March 2022

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Abstract

Distributed computing has been the field of enthusiasm by the exploration network and application improvement industry for scarcely any decades at this point. The simplicity of advancement, arrangement, and the executives of utilizations from a broad scope of figuring worldview and capacity to deal with the applications over organization empowered frameworks are the most significant selling purposes of distributed computing. These advantages are appeared utilizing the system called virtualization on distributed computing and in cloud-based server farms. The virtualization innovation not just empowers the total virtual perspective on the physical asset pools, instead additionally empowers hardly any key advantages, for example, movability, recuperation after disappointment, and most conspicuously produces the essential procedure for load adjusting. The conceivable outcomes of burden qualities synopsis for better usage of the heap expectation analogies utilizing the administration demand-type classifications were studied. Furthermore, for the heap synopsis measure, the equality of the related boundaries answerable for load estimations are diminished to compressed parametric portrayals utilizing the connection-based decrease technique, which altogether supports the standard of burden attributes rundown measure. This paper explains proposed load balancing algorithm.

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We did not receive any funding from a private or government body for this research work.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology (ISM), Dhanbad, JH, India

    Prasad Velpula, Rajendra Pamula & Praphula Kumar Jain

  2. Department of Computer Science and Engineering, BVRIT, Hyderabad, India

    Amjan Shaik

  3. Department of Computer Engineering and Applications, GLA University, Mathura, UP, India

    Praphula Kumar Jain

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  1. Prasad Velpula
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  2. Rajendra Pamula
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Correspondence to Praphula Kumar Jain.

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The original version of this article was revised: The affiliation details for Prasad Velpula, Rajendra Pamula and Amjan Shaik were corrected.

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Velpula, P., Pamula, R., Jain, P.K. et al. Heterogeneous Load Balancing using Predictive Load Summarization. Wireless Pers Commun 125, 1075–1093 (2022). https://doi.org/10.1007/s11277-022-09589-y

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