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

作     者：Kaul, Surabhi Kumar, Yogesh Ghosh, Uttam Alnumay, Waleed 

作者机构：Chandigarh Univ Mohali 140413 Punjab India Chandigarh Grp Coll Mohali 140307 Punjab India Vanderbilt Univ Nashville TN 37235 USA King Saud Univ Riyadh 11451 Saudi Arabia 

出 版 物：《MULTIMEDIA TOOLS AND APPLICATIONS》 (多媒体工具和应用)

年 卷 期：2022年第81卷第19期

页      面：26779-26801页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：King Saud University  Riyadh  Saudi Arabia [RSP-2020/250] 

主　　题：Sustainability Energy efficiency Load balancing Scheduling Grid computing Cloud computing Distributed computing Fog computing Edge computing 

摘      要：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.