Novel resource allocation algorithms to performance and energy efficiency in cloud computing

被引：79

作者：

Horri, Abbas ^{[1
]}

Mozafari, Mohammad Sadegh ^{[1
]}

Dastghaibyfard, Gholamhossein ^{[1
]}

机构：

[1] Shiraz Univ, Dept Comp Sci & Engn, Coll Elect & Comp Engn, Shiraz 7134851154, Iran

来源：

JOURNAL OF SUPERCOMPUTING | 2014年 / 69卷 / 03期

关键词：

Green computing; Energy-efficient resource management; Dynamic consolidation; Cloud computing; POWER; COST; ENVIRONMENTS; MIGRATION;

D O I：

10.1007/s11227-014-1224-8

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The rapid growth in demand for computational power has led to a shift to the cloud computing model established by large-scale virtualized data centers. Such data centers consume enormous amounts of electrical energy. Cloud providers must ensure that their service delivery is flexible to meet various consumer requirements. However, to support green computing, cloud providers also need to minimize the cloud infrastructure energy consumption while conducting the service delivery. In this paper, for cloud environments, a novel QoS-aware VMs consolidation approach is proposed that adopts a method based on resource utilization history of virtual machines. Proposed algorithms have been implemented and evaluated using CloudSim simulator. Simulation results show improvement in QoS metrics and energy consumption as well as demonstrate that there is a trade-off between energy consumption and quality of service in the cloud environment.

引用

页码：1445 / 1461

页数：17

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