DocumentCode :
651587
Title :
Utilization-Aware Allocation for Multi-Tenant Datacenters
Author :
Yang Gao ; Yibo Xue ; Jun Li
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear :
2013
fDate :
8-11 July 2013
Firstpage :
82
Lastpage :
87
Abstract :
Cloud datacenters need efficient resource management that is able to orchestrate bulks of different resources. In current public cloud datacenters, there is a mismatch between the requirements of tenant requests and resource utilization. Multiple resource types in datacenters make the situation even more complex. Intelligent resource allocation methods are demanded to improve the overall utilization of multiple resources. This paper presents Multiple Resource Utilization (MRU), a novel resource allocation method for multi-tenant datacenters. MRU allocates multiple types of datacenter resources according to the diverse and dynamic requests from tenants, and simultaneously maximize resource utilization of datacenter and guarantee the resource availability and performance for tenants. Experiments demonstrate that MRU significantly improves the utilization of multiple resources and thus save the cost.
Keywords :
cloud computing; computer centres; cost reduction; resource allocation; MRU; cost saving; intelligent resource allocation methods; multiple resource utilization; multitenant datacenters; public cloud datacenters; resource availability; resource management; utilization-aware allocation; Bandwidth; Dynamic scheduling; Resource management; Servers; Standards; Subscriptions; Virtual machining; allocation; data center; multiple resource; utilization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems Workshops (ICDCSW), 2013 IEEE 33rd International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4799-3247-4
Type :
conf
DOI :
10.1109/ICDCSW.2013.53
Filename :
6679867
Link To Document :
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