Fuzzy Firefly Based Intelligent Algorithm for Load Balancing inMobile Cloud Computing  

作　　者：Poonam Suman Sangwan 

机构地区：[1]CSE Department,Deenbandhu Chhotu Ram University of Science and Technology,Murthal,131039,Sonepat,India

出　　处：《Computers, Materials & Continua》2023年第1期1783-1799,共17页计算机、材料和连续体（英文）

基　　金：funded by University Grant Commission with UGC-Ref.No.:3364/(NET-JUNE 2015).

摘　　要：This paper presents a novel fuzzy firefly-based intelligent algorithm for load balancing in mobile cloud computing while reducing makespan.The proposed technique implicitly acts intelligently by using inherent traits of fuzzy and firefly.It automatically adjusts its behavior or converges depending on the information gathered during the search process and objective function.It works for 3-tier architecture,including cloudlet and public cloud.As cloudlets have limited resources,fuzzy logic is used for cloudlet selection using capacity and waiting time as input.Fuzzy provides human-like decisions without using any mathematical model.Firefly is a powerful meta-heuristic optimization technique to balance diversification and solution speed.It balances the load on cloud and cloudlet while minimizing makespan and execution time.However,it may trap in local optimum;levy flight can handle it.Hybridization of fuzzy fireflywith levy flight is a novel technique that provides reduced makespan,execution time,and Degree of imbalance while balancing the load.Simulation has been carried out on the Cloud Analyst platform with National Aeronautics and Space Administration(NASA)and Clarknet datasets.Results show that the proposed algorithm outperforms Ant Colony Optimization Queue Decision Maker(ACOQDM),Distributed Scheduling Optimization Algorithm(DSOA),andUtility-based Firefly Algorithm(UFA)when compared in terms of makespan,Degree of imbalance,and Figure of Merit.

关 键 词：Cloud computing CLOUDLET mobile cloud computing FUZZY FIREFLY load balancing MAKESPAN degree of imbalance 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]