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Single Value Neutrosophic Virtual Machine Resources Optimization

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Proceedings of International Joint Conference on Advances in Computational Intelligence (IJCACI 2022)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Cloud computing plays an important role in different environment like Internet of Things (IOT), wireless remote devices, and mobile to manage huge quantity data and information for analysis and services in proposed approach. Cloud network exhibits sharing and accessing resources using Internet for different individual and organization on demand basis in cost effective way. Task scheduling algorithm is applied in virtual machines to balance real-time task load and to reduce task waiting time during execution. We have selected datacenters and virtual machines in neutrosophic environment using single-valued neutrosophic set (SVNS) theory to optimize resource utilization in real-time task load execution. Selection of virtual machines within a datacenter depends on the output of score matrix during task scheduling.

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Authors and Affiliations

  1. Netaji Subhash Engineering College Garia, Kolkata, West Bengal, 700152, India

    Mou De & Anirban Kundu

  2. Computer Innovative Research Society, Howrah, Kolkata, West Bengal, 711103, India

    Mou De & Anirban Kundu

Authors
  1. Mou De
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  2. Anirban Kundu
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Corresponding author

Correspondence to Mou De .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh

    Mohammad Shorif Uddin

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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De, M., Kundu, A. (2024). Single Value Neutrosophic Virtual Machine Resources Optimization. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-97-0180-3_17

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