DocumentCode
1618581
Title
Delta Scaling: How Resources Scalability/Termination Can Be Taken Place Economically?
Author
Kouki, Yousri ; Sabbir Hasan, Md. ; Ledoux, Thomas
Author_Institution
Linagora, Paris, France
fYear
2015
Firstpage
55
Lastpage
62
Abstract
Cloud Computing promises to completely revolutionize the capacity management of resources. The elasticity and the economy of scale are the intrinsic elements that dierentiate it from traditional computing paradigm. A good capacity planning method is a necessary factor but not sucient to fully exploit Cloud elasticity. This paper proposes innovative policies for resource management to achieve the optimal balance between capacity and quality of Cloud services while supporting Cloud technical and conceptual limitations. The main idea is to control finely the scalability and the termination of virtual machines in regards of several criteria such as the lifecycle of the instances (e.g. Initialization time) or their cost. The approach was evaluated with a real infrastructure (Amazon EC2) and an application test bed. Experimental results illustrate the soundness of the proposed approach and the impact of scalability/termination resource policies. Using Delta Scaling, the cost saving of as much as 30% can be achieved while causing the minimum number of violations, as small as 1%.
Keywords
capacity management (computers); cloud computing; economies of scale; resource allocation; virtual machines; Amazon EC2 infrastructure; DeltaScaling; capacity planning method; cloud computing; cloud elasticity; cloud service quality; economy of scale; resource capacity management; resource scalability; resource termination; virtual machine; Capacity planning; Computational modeling; Elasticity; Measurement; Quality of service; Scalability; Time factors; Auto-Scaling; Capacity Planning; Cloud Computing; Elasticity; Scalability; Service Level Agreement (SLA); Termination;
fLanguage
English
Publisher
ieee
Conference_Titel
Services (SERVICES), 2015 IEEE World Congress on
Conference_Location
New York, NY
Print_ISBN
978-1-4673-7274-9
Type
conf
DOI
10.1109/SERVICES.2015.17
Filename
7196504
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