Efficient Resource Allocation in Fog Computing Using QTCS Model

作     者：M.Iyapparaja Naif Khalaf Alshammari M.Sathish Kumar S.Siva Rama Krishnan Chiranji Lal Chowdhary 

作者机构：School of Information Technology and EngineeringVellore Institute of TechnologyVellore632014India Mechanical EngineeringUniversity of HailSaudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第70卷第2期

页      面：2225-2239页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

主　　题：Queuing theory Cuckoo search QoS resource allocation energy efficiency 

摘      要：Infrastructure of fog is a complex system due to the large number of heterogeneous resources that need to be *** embedded devices deployed with the Internet of Things(IoT)technology have increased since the past few years,and these devices generate huge amount of *** devices in IoT can be remotely connected and might be placed in different locations which add to the network *** time applications require high bandwidth with reduced latency to ensure Quality of Service(QoS).To achieve this,fog computing plays a vital role in processing the request locally with the nearest available resources by reduced *** of themajor issues to focus on in a fog service is managing and allocating *** theory is one of the most popular mechanisms for task *** this work,an efficient model is designed to improve QoS with the efficacy of resource allocation based on a Queuing Theory based Cuckoo Search(QTCS)model which will optimize the overall resource management process.