Published in

2011 IEEE 4th International Conference on Cloud Computing

DOI: 10.1109/cloud.2011.47

Links

Tools

Export citation

Search in Google Scholar

Real Time Elastic Cloud Management for Limited Resources

Proceedings article published in 2011 by Sijin He ORCID, Li Guo, Yike Guo
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

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.