DocumentCode :
3141255
Title :
Real Time Elastic Cloud Management for Limited Resources
Author :
He, Sijin ; Guo, Li ; Guo, Yike
Author_Institution :
Dept. of Comput., Imperial Coll. London, London, UK
fYear :
2011
fDate :
4-9 July 2011
Firstpage :
622
Lastpage :
629
Abstract :
An Infrastructure-as-a-Service (IaaS) provider is usually assumed to own a large data centre with significant computational resources. For a small or medium sized Internet Data Centre (IDC), offering cloud computing service is a nature of business model but there are technical barriers which need to be resolved. One of the key issues is ineffective resource management given such an IDC usually has only limited resource. In this paper, we propose an efficient resource management solution specially designed for helping small and medium sized IaaS cloud providers to better utilise their hardware resources with minimum operational cost. Such an optimised resource utilisation is achieved by a well-designed underlying hardware infrastructure, an efficient resource scheduling algorithm and a set of migrating operations of VMs.
Keywords :
cloud computing; computer centres; real-time systems; resource allocation; business model; cloud computing service; hardware resource management; infrastructure-as-a-service; medium sized Internet data centre; real time elastic cloud management; resource scheduling algorithm; resource utilisation; small sized Internet data centre; Cloud computing; Hardware; Memory management; Real time systems; Resource management; Servers; Virtual machine monitors; Cloud Computing; IaaS; Resource Scheduling; VM Migration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing (CLOUD), 2011 IEEE International Conference on
Conference_Location :
Washington, DC
ISSN :
2159-6182
Print_ISBN :
978-1-4577-0836-7
Electronic_ISBN :
2159-6182
Type :
conf
DOI :
10.1109/CLOUD.2011.47
Filename :
6008763
Link To Document :
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