DocumentCode :
650580
Title :
Improving Availability of Cloud-Based Applications through Deployment Choices
Author :
Jim Zhanwen Li ; Qinghua Lu ; Liming Zhu ; Bass, Len ; Xiwei Xu ; Sakr, Salam ; Bannerman, Paul L. ; Liu, An
Author_Institution :
NICTA, Sydney, NSW, Australia
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
43
Lastpage :
50
Abstract :
Deployment choices are critical in determining the availability of applications running in a cloud. But choosing good deployment for various software application components into virtual machines is a challenging task because of potential sharing of components among applications and potential interference from multi-tenancy. This paper presents an approach for improving the availability guarantee of software applications by optimizing the availability, performance and monetary cost trade-offs of different deployment choices. Our approach explicitly considers different classes of application requests during the decision process. The results of our experimental evaluation show that the approach can effectively improve the availability guarantees with little or negligible increase in the performance and monetary cost of the deployment choice.
Keywords :
cloud computing; virtual machines; application requests; availability optimization; cloud-based application availability; decision process; deployment choices; monetary cost trade-off optimization; performance optimization; software application availability guarantee; software application components; virtual machines; Availability; Correlation; Interference; Optimization; Resource management; Software; Virtual machining; availablilty; cloud computing; deployment; multi-class requests; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5028-2
Type :
conf
DOI :
10.1109/CLOUD.2013.83
Filename :
6676676
Link To Document :
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