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