DocumentCode :
2028662
Title :
Toward Informed Resource Management in the Cloud
Author :
Tran, Giang Son ; Broto, Laurent ; Hagimont, Daniel
Author_Institution :
ENSEEIHT, Univ. of Toulouse, Toulouse, France
fYear :
2013
fDate :
9-12 Dec. 2013
Firstpage :
247
Lastpage :
250
Abstract :
More and more companies are externalizing their computing infrastructures to the cloud to reduce the increasing maintenance cost of computing environments. Minimizing the amount of hardware resource and power consumption in use is one of the main services that such a cloud infrastructure must ensure. This objective can be done either by the customer at the application level (by dynamically sizing the application based on the workload), or by the provider at the virtualization level (by consolidating virtual machines based on the infrastructure´s utilization rate). Many research works investigate resource management policies separately. In this paper, we show that the different strategies for cloud resource management, including server consolidation only, dynamic application sizing only, both policies at the same time, do not fully bring benefits to the cloud actors when being implemented without cooperation. Finally, we propose and evaluate a cooperative model to combine the efficiency from these strategies in reducing power consumption and keeping application´s Quality of Service.
Keywords :
cloud computing; power consumption; quality of service; virtual machines; virtualisation; cloud infrastructure; cloud resource management; computing environment; computing infrastructures; dynamic application sizing only; hardware resource; informed resource management; infrastructure utilization rate; maintenance cost; power consumption; quality of service; resource management policy; server consolidation only; virtual machines; virtualization level; Dynamic scheduling; Hardware; Power demand; Resource management; Runtime; Servers; Time factors; Resource management; cloud; cooperation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Utility and Cloud Computing (UCC), 2013 IEEE/ACM 6th International Conference on
Conference_Location :
Dresden
Type :
conf
DOI :
10.1109/UCC.2013.59
Filename :
6809406
Link To Document :
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