DocumentCode
3275211
Title
ACRUM: An adaptive cloud resource utilization model
Author
Jinghe Huo ; Shifeng Shang ; Zeng Zhang
Author_Institution
Dept. of Inf. Eng., Acad. of Armored Forces Eng., Beijing, China
fYear
2013
fDate
23-25 May 2013
Firstpage
275
Lastpage
278
Abstract
Cloud computing provides an elastic, on-demand and high cost-efficient resource allocation model for task executions. Cloud resource provider cloud offers computing resource, typically in the form of virtual machines. During task execution, the load will change from time to time and therefore, it becomes an interesting topic to optimize resource utilization in the cloud computing environment. In this paper, a framework is proposed that can adaptively use cloud resources. After users specify the desired service goal to achieve, the proposed framework then monitors the task execution, and utilizes different pricing models to add or release cloud resources according to the change of cloud resource utilization rate. Experimental result shows that the cost of task execution is reduced greatly.
Keywords
cloud computing; resource allocation; ACRUM; adaptive cloud resource utilization model; cloud computing; cloud resource utilization rate; pricing model; resource allocation model; virtual machine; Adaptation models; Computational modeling; Databases; Monitoring; Resource management; Societies; Standards; Adaptive Utilization; Cloud Computing; Model; Resource;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4673-4997-0
Type
conf
DOI
10.1109/ICSESS.2013.6615304
Filename
6615304
Link To Document