Energy saving slot allocation-based multicast routing in cloud wireless mesh network

作     者：Jeyakarthic, M. Subalakshmi, N. 

作者机构：Department of Computer and Information Science Annamalai University Tamil Nadu Annamalai Nagar India Computer Science and Engineering Wing Directorate of Distance Education Annamalai University Tamil Nadu Annamalai Nagar India 

出 版 物：《International Journal of Cloud Computing》 (Int. J. Cloud Computing)

年 卷 期：2023年第12卷第2-4期

页      面：148-162页

核心收录：

学科分类：0808[工学-电气工程] 080802[工学-电力系统及其自动化] 081203[工学-计算机应用技术] 08[工学] 080203[工学-机械设计及理论] 0807[工学-动力工程及工程热物理] 0835[工学-软件工程] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Cloud computing 

摘      要：Many techniques of cloud computing are affected by surge load and time issues. This proposed method for virtual cloud planning utilise simple protocols in a single or multiple data centres. A new load balanced amortised multi-scheduling algorithm (LBAM) is proposed for assigning the task to cloud based on active load in the cloud environment. The proposed system calculates the multiple attribute weight for each workplace and introduces an application source that changes in application virtualisation environment. The system calculates the cloud data weight based upon the allocation of data and its consequence based on the processing efficiency of the cloud machine. This approach works effectively in most configurations, also virtual machines hold the ability to process load with high pace and efficient memory management. A detailed comparative analysis is made with the existing methods namely SLA, FPGGA and DJS algorithms. The obtained results indicated that the LBAM model is superior to compared methods under several aspects. Copyright © 2023 Inderscience Enterprises Ltd.