Virtual Machine Placement Algorithm for Both Energy-Awareness and SLA Violation Reduction in Cloud Data Centers
Joint Authors
Li, Keqin
Zhou, Zhou
Hu, Zhigang
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The problem of high energy consumption is becoming more and more serious due to the construction of large-scale cloud data centers.
In order to reduce the energy consumption and SLA violation, a new virtual machine (VM) placement algorithm named ATEA (adaptive three-threshold energy-aware algorithm), which takes good use of the historical data from resource usage by VMs, is presented.
In ATEA, according to the load handled, data center hosts are divided into four classes: hosts with little load, hosts with light load, hosts with moderate load, and hosts with heavy load.
ATEA migrates VMs on heavily loaded or little-loaded hosts to lightly loaded hosts, while the VMs on lightly loaded and moderately loaded hosts remain unchanged.
Then, on the basis of ATEA, two kinds of adaptive three-threshold algorithm and three kinds of VMs selection policies are proposed.
Finally, we verify the effectiveness of the proposed algorithms by CloudSim toolkit utilizing real-world workload.
The experimental results show that the proposed algorithms efficiently reduce energy consumption and SLA violation.
American Psychological Association (APA)
Zhou, Zhou& Hu, Zhigang& Li, Keqin. 2016. Virtual Machine Placement Algorithm for Both Energy-Awareness and SLA Violation Reduction in Cloud Data Centers. Scientific Programming،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118285
Modern Language Association (MLA)
Zhou, Zhou…[et al.]. Virtual Machine Placement Algorithm for Both Energy-Awareness and SLA Violation Reduction in Cloud Data Centers. Scientific Programming No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1118285
American Medical Association (AMA)
Zhou, Zhou& Hu, Zhigang& Li, Keqin. Virtual Machine Placement Algorithm for Both Energy-Awareness and SLA Violation Reduction in Cloud Data Centers. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118285
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118285