An Improved Ant Colony Algorithm for Solving a Virtual Machine Placement Problem in a Cloud Computing Environment

被引：6

作者：

Alharbe, Nawaf ^{[1
]}

Rakrouki, Mohamed Ali ^{[1
,2
,3
]}

Aljohani, Abeer ^{[1
]}

机构：

[1] Taibah Univ, Appl Coll, Medina 42353, Saudi Arabia

[2] Univ Tunis, Ecole Super Sci Econ & Commerciales Tunis, Tunis 1089, Tunisia

[3] Univ Tunis, Tunis Business Sch, Business Analyt & Decis Making Lab BADEM, Tunis 2059, Tunisia

来源：

IEEE ACCESS | 2022年 / 10卷

关键词：

Virtual machining; Cloud computing; Servers; Data centers; Telecommunication traffic; Task analysis; Energy consumption; Ant colony optimization; cloud computing; placement; scheduling; virtualization; SYSTEM;

D O I：

10.1109/ACCESS.2022.3170103

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The world is currently witnessing many successive changes in several fields, especially in the field of healthcare which forced countries to impose health policies to provide good services, which drew health sector strategies focusing on the digital transformation aspect. E-government healthcare applications are used by dozens of millions of users. This high usage of applications generates a huge network traffic and needs reliable cloud computing platforms and efficient virtual machine placement models. In this context, we proposed an improved Ant Colony algorithm to solve a virtual machine placement problem in a cloud computing environment in order to minimize the total network traffic and the maximum link utilization. The experimental results demonstrate the effectiveness and efficiency of our proposed algorithm.

引用

页码：44869 / 44880

页数：12

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