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 :
بازگشت