DocumentCode :
2100657
Title :
RMORM: A framework of Multi-objective Optimization Resource Management in Clouds
Author :
Wenyun Dai ; Haopeng Chen ; Wenting Wang ; Xi Chen
Author_Institution :
REINS Group, Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
488
Lastpage :
494
Abstract :
Cloud computing has attracted increasing attention in recent years. With the growth in the number and frequency of applications being deployed into clouds, the burden of resource management of cloud providers is becoming heavier. The resource deployment must satisfy the need about the performance, availability and reliability of applications from the view of clients, but also ensure the high resource utilization of the cloud providers. In this paper, we design a multi-objective serial optimization with priorities approach, named RMORM, to find the resource deployment in clouds rapidly. This approach is of great practical significance and engineering value and scalable to add new constraints.
Keywords :
cloud computing; optimisation; resource allocation; RMORM; application availability; application reliability; cloud computing; cloud providers; multiobjective optimization resource management; multiobjective serial optimization; priorities approach; resource deployment; resource utilization; Availability; Computational modeling; Monitoring; Resource management; Servers; Virtual machining; Cloud-computing; Multi-objective; Resource Management; SLA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services (SERVICES), 2013 IEEE Ninth World Congress on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5024-4
Type :
conf
DOI :
10.1109/SERVICES.2013.85
Filename :
6655739
Link To Document :
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