An improved multi-objective evolutionary algorithm for computation offloading in the multi-cloudlet environment  

作　　者：Li LIU Yuanyuan DU 

机构地区：[1]Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China [2]Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,University of Science and Technology Beijing,Beijing 100083,China

出　　处：《Frontiers of Computer Science》2021年第5期207-209,共3页中国计算机科学前沿（英文版）

基　　金：the National Natural Science Foundation of China(Grant Nos.61772068,61370132 and 61472033).

摘　　要：1 Introduction Mobile cloud computing(MCC)can break the limitations of mobile devices by migrating applications to the Cloud with richer computing and storage resources[1].Consequently,mobile users can obtain better service experience,improved processing power and reliability,expansion of storage capacity and so on[2].We focus on the computational offloading problem in the multi-cloudlet architecture(Fig.1).

关 键 词：LOADING SERVICE CLOUD 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]