Rank Based Ant Colony Optimization for Energy Efficient VM Placement On Cloud

被引：0

作者：

Verma, Anjali ^{[1
]}

Tripathi, Priyanka ^{[1
]}

机构：

[1] NITTTR BHOPAL, Dept Comp Engn & Applicat, Bhopal, India

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INVENTIVE SYSTEMS AND CONTROL (ICISC 2018) | 2018年

关键词：

Green computing; Energy efficiency; Energy Consumption; Virtualization; Virtual migration; load balancing; Task-consolidation; MIGRATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Virtual machine (VM) management in the cloud has been an emerging topic of research these days. In this work VM allocation of physical machines in the cloud and VM migration algorithm is proposed. VM allocation and migration is considered as an NP Hard problem. So to calculate the exact optimal solution will take a large amount of time for large VM and PMs. So in this work meta-heuristic algorithms are studied based on ant colony. The rank based ant system is applied on VM allocation and VM migration. It is found that the proposed approach observe better performance.

引用

页码：1020 / 1026

页数：7

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