Optimal Load Balancing in Cloud Environment of Virtual Machines
作者机构：Department of Computer ScienceKing Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Department of Information SystemKing Khalid UniversityMuhayel AseerKingdom of Saudi Arabia
出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)
年 卷 期：2022年第41卷第6期
页 面：919-932页
核心收录：
学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0802[工学-机械工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work under grant number(R.G.P-40-331),Received by Fuad A Al-Yarimi.www.kku.cdu.sa The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this wprk through the General Research Project under grant number(R.G.P1/155/40)
主 题：Cloud computing service level agreements virtual machines load balancing scheduling
摘 要：Cloud resource scheduling is gaining prominence with the increasingtrends of reliance on cloud infrastructure solutions. Numerous sets of cloudresource scheduling models were evident in the literature. Cloud resource scheduling refers to the distinct set of algorithms or programs the service providersengage to maintain the service level allocation for various resources over a virtualenvironment. The model proposed in this manuscript schedules resources of virtual machines under potential volatility aspects, which can be applied for anypriority metric chosen by the server administrators. Also, the model can be flexible for any time frame-based analysis of the load factor. The model discussed inthis manuscript relies on the Bollinger Bands tool for understanding the potentialvolatility aspects of a Virtual Machine. The experimental study of the model compared to the contemporary load balancing model called STLB (Starvation Threshold-based Load Balancing) refers to a simple and potential model that can bemore pragmatic for sustainable ways of load balancing.
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