A swarm intelligence-based quality of service aware resource allocation for clouds

被引：0

作者：

Kumar, Ashok ^{[1
]}

Sharma, Anju ^{[2
]}

Kumar, Rajesh ^{[3
]}

机构：

[1] Chitkara Univ, Inst Engn & Technol, Chandigarh, Punjab, India

[2] Maharaja Ranjit Singh Punjab Tech Univ, Dept Computat Sci, Bathinda, India

[3] Thapar Inst Engn & Technol, Comp Sci & Engn Dept, Patiala, Punjab, India

来源：

INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING | 2020年 / 34卷 / 03期

关键词：

energy efficiency; resource utilisation; resource allocation; swarm intelligence; quality of service; QoS; SCHEDULING ALGORITHM; VIRTUAL MACHINES; ENERGY; QOS; MANAGEMENT; POWER;

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：

The growing popularity of cloud computing results in very large data centres around the world with vast amount of energy requirements and CO2 emissions. These large sized data centres demand efficient management of resources to conserve energy while satisfying quality of service (QoS) requirements of the end users. In this paper, a QoS-aware resource allocation approach using ant colony optimisation is proposed. The proposed approach is implemented in CloudSim and comprehensive performance analysis shows upto 12% energy saving.

引用

页码：129 / 140

页数：12

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