Rider Optimization Algorithm Based Optimal Cloud Server Selection in E-Learning  

作　　者：R.Soundhara Raja Pandian C.Christopher Columbus 

机构地区：[1]Department of Computer Science and Engineering,PSN College of Engineering and Technology,Melathediyoor,Tamil Nadu,627152,India

出　　处：《Computer Systems Science & Engineering》2023年第2期1749-1762,共14页计算机系统科学与工程（英文）

摘　　要：Currently,e-learning is one of the most prevalent educational methods because of its need in today’s world.Virtual classrooms and web-based learning are becoming the new method of teaching remotely.The students experience a lack of access to resources commonly the educational material.In remote loca-tions,educational institutions face significant challenges in accessing various web-based materials due to bandwidth and network infrastructure limitations.The objective of this study is to demonstrate an optimization and queueing tech-nique for allocating optimal servers and slots for users to access cloud-based e-learning applications.The proposed method provides the optimization and queue-ing algorithm for multi-server and multi-city constraints and considers where to locate the best servers.For optimal server selection,the Rider Optimization Algo-rithm(ROA)is utilized.A performance analysis based on time,memory and delay was carried out for the proposed methodology in comparison with the exist-ing techniques.The proposed Rider Optimization Algorithm is compared to Par-ticle Swarm Optimization(PSO),Genetic Algorithm(GA)and Firefly Algorithm(FFA),the proposed method is more suitable and effective because the other three algorithms drop in local optima and are only suitable for small numbers of user requests.Thus the proposed method outweighs the conventional techniques by its enhanced performance over them.

关 键 词：Optimization QUEUING slot selection server selection rider optimization algorithm 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]