Cloud Data Center Selection Using a Modified Differential Evolution  

作　　者：Yousef Sanjalawe Mohammed Anbar Salam Al-E’mari Rosni Abdullah Iznan Hasbullah Mohammed Aladaileh 

机构地区：[1]National Advanced IPv6 Center(NAv6),Universiti Sains Malaysia,11800 USM,Penang,Malaysia [2]Computer Science Department,PY Collage,Northern Border University(NBU),9280 NBU,Ar’ar,Kingdom of Saudi Arabia

出　　处：《Computers, Materials & Continua》2021年第12期3179-3204,共26页计算机、材料和连续体（英文）

基　　金：This work was supported by Universiti Sains Malaysia under external grant(Grant Number 304/PNAV/650958/U154).

摘　　要：The interest in selecting an appropriate cloud data center is exponentially increasing due to the popularity and continuous growth of the cloud computing sector.Cloud data center selection challenges are compounded by ever-increasing users’requests and the number of data centers required to execute these requests.Cloud service broker policy defines cloud data center’s selection,which is a case of an NP-hard problem that needs a precise solution for an efficient and superior solution.Differential evolution algorithm is a metaheuristic algorithm characterized by its speed and robustness,and it is well suited for selecting an appropriate cloud data center.This paper presents a modified differential evolution algorithm-based cloud service broker policy for the most appropriate data center selection in the cloud computing environment.The differential evolution algorithm is modified using the proposed new mutation technique ensuring enhanced performance and providing an appropriate selection of data centers.The proposed policy’s superiority in selecting the most suitable data center is evaluated using the CloudAnalyst simulator.The results are compared with the state-of-arts cloud service broker policies.

关 键 词：Cloud computing data center data center selection cloud service broker differential evolution user request 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]