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Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review

  • 1175: IoT Multimedia Applications and Services
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Abstract

Nature inspired algorithm plays a very vibrant role in solving the different optimization problems these days. The fundamental attitude of naturalistic approaches is to boost the competence, improvement, proficiency, success in the task except from it to help in underrating the energy use, cost, size. Several computing techniques are taking the benefits from nature inspired algorithms for solving their problems related to load balancing, scheduling and many others. These algorithms have come up with lots of improvements in the results. The aim of this analysis is to make efforts in the betterment in different areas of computing and help in solving various problems related to load balancing, scheduling and energy efficiency. The structure of the paper includes an introduction, contribution to the work, background study, which includes the role of nature inspired techniques in a different computing environment, research challenges and its applications. The sustainable goal and objective of the article is to perform the energy efficiency, load balancing and scheduling on different computing systems which include grid, cloud, distributed, fog and edge computing by using various nature inspired algorithms. This comprehensive study gives the awareness and valuable provision for the researchers in this area by providing a thorough study of different computing techniques in different research fields.

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Acknowledgements

This work was supported by Researchers Supporting Project number (RSP-2020/250), King Saud University, Riyadh, Saudi Arabia.

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Authors and Affiliations

  1. Chandigarh University, Gharuan, Mohali, Punjab, 140413, India

    Surabhi Kaul

  2. Chandigarh Group of Colleges, Landran, Mohali, Punjab, 140307, India

    Yogesh Kumar

  3. Vanderbilt University, Nashville, TN, 37235, USA

    Uttam Ghosh

  4. King Saud University, Riyadh, SA, 11451, Saudi Arabia

    Waleed Alnumay

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  1. Surabhi Kaul
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Kaul, S., Kumar, Y., Ghosh, U. et al. Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review. Multimed Tools Appl 81, 26779–26801 (2022). https://doi.org/10.1007/s11042-021-11011-x

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