Improved Chameleon Swarm Optimization-Based Load Scheduling for IoT-Enabled Cloud Environment  

作　　者：Manar Ahmed Hamza Shaha Al-Otaibi Sami Althahabi Jaber S.Alzahrani Abdullah Mohamed Abdelwahed Motwakel Abu Sarwar Zamani Mohamed I.Eldesouki 

机构地区：[1]Department of Computer and Self Development,Preparatory Year Deanship,Prince Sattam Bin Abdulaziz University,Al-Kharj,16278,Saudi Arabia [2]Department of Information Systems,College of Computer and Information Sciences,Princess Nourah Bint Abdulrahman University,Riyadh,11671,Saudi Arabia [3]Department of Computer Science,College of Science&Art atMahayil,King Khalid University,Muhayel Aseer,62529,Saudi Arabia [4]Department of Industrial Engineering,College of Engineering at Alqunfudah,Umm Al-Qura University,Mecaa,24382,Saudi Arabia [5]Research Centre,Future University in Egypt,New Cairo,11845,Egypt [6]Department of Information System,College of Computer Engineering and Sciences,Prince Sattam Bin Abdulaziz University,AlKharj,Saudi Arabia

出　　处：《Computer Systems Science & Engineering》2023年第8期1371-1383,共13页计算机系统科学与工程（英文）

基　　金：The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under Grant Number(RGP 1/322/42);Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2022R136);Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:(22UQU4340237DSR09).

摘　　要：Internet of things(IoT)and cloud computing(CC)becomes widespread in different application domains such as business,e-commerce,healthcare,etc.The recent developments of IoT technology have led to an increase in large amounts of data from various sources.In IoT enabled cloud environment,load scheduling remains a challenging process which is applied for ensuring network stability with maximum resource utilization.The load scheduling problem was regarded as an optimization problem that is solved by metaheuristics.In this view,this study develops a new Circle Chaotic Chameleon Swarm Optimization based Load Scheduling(C3SOA-LS)technique for IoT enabled cloud environment.The proposed C3SOA-LS technique intends to effectually schedule the tasks and balance the load uniformly in such a way that maximum resource utilization can be accomplished.Besides,the presented C3SOA-LS model involves the design of circle chaotic mapping(CCM)with the traditional chameleon swarm optimization(CSO)algorithm for improving the exploration process,shows the novelty of the work.The proposed C3SOA-LS model computes an objective with the minimization of energy consumption and makespan.The experimental outcome implied that the C3SOA-LS model has showcased improved performance and uniformly balances the load over other approaches.

关 键 词：Cloud environment load scheduling energy consumption internet of things metaheuristics 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术]