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An Adaptive Neuro-Fuzzy Inference System and Black Widow Optimization Approach for Optimal Resource Utilization and Task Scheduling in a Cloud Environment

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Abstract

With the enhancing demand of the cloud computing products, task scheduling issue has become the hot study topic in this area. The task scheduling issue of the cloud computing method is more difficult than the conventional distributed system. The majority of the previous scheduling schemes use virtual machine (VM) instances, which takes enormous start up time and requires the full resources to perform the tasks. The proposed approach utilizes an Adaptive Neuro-Fuzzy Inference System (ANFIS)-Black Widow Optimization (BWO) (ANFIS-BWO) method for establishing the proper VM for every task with less delay. Resource scheduling is another important objective for optimal usage of resources (servers) in the cloud environment. The BWO algorithm is used to obtain the best solution in the ANFIS scheme. The proposed approach can employ the VMs on the best server by the optimal scheduling scheme. The main aim of the proposed approach is to minimize the computational time, computational cost, and energy consumptions of the tasks with useful resource utilization. We describe that the proposed approach performs better than the existing approach concerning performance metrics such as computational time, makespan, energy consumption, computational cost, and resource utilization.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, St. Joseph’s College of Engineering, Chennai, Tamilnadu, India

    Manikandan Nanjappan

  2. Department of Information Technology, Sri Venkateswara College of Engineering, Chennai, Tamilnadu, India

    Gobalakrishnan Natesan

  3. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India

    Pradeep Krishnadoss

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  1. Manikandan Nanjappan
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  2. Gobalakrishnan Natesan
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  3. Pradeep Krishnadoss
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Correspondence to Manikandan Nanjappan.

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Nanjappan, M., Natesan, G. & Krishnadoss, P. An Adaptive Neuro-Fuzzy Inference System and Black Widow Optimization Approach for Optimal Resource Utilization and Task Scheduling in a Cloud Environment. Wireless Pers Commun 121, 1891–1916 (2021). https://doi.org/10.1007/s11277-021-08744-1

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