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On Elasticity Measurement in Cloud Computing
Joint Authors
Li, Kenli
Li, Keqin
Ai, Wei
Lan, Shenglin
Zhang, Fan
Mei, Jing
Buyya, Rajkumar
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-08
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Elasticity is the foundation of cloud performance and can be considered as a great advantage and a key benefit of cloud computing.
However, there is no clear, concise, and formal definition of elasticity measurement, and thus no effective approach to elasticity quantification has been developed so far.
Existing work on elasticity lack of solid and technical way of defining elasticity measurement and definitions of elasticity metrics have not been accurate enough to capture the essence of elasticity measurement.
In this paper, we present a new definition of elasticity measurement and propose a quantifying and measuring method using a continuous-time Markov chain (CTMC) model, which is easy to use for precise calculation of elasticity value of a cloud computing platform.
Our numerical results demonstrate the basic parameters affecting elasticity as measured by the proposed measurement approach.
Furthermore, our simulation and experimental results validate that the proposed measurement approach is not only correct but also robust and is effective in computing and comparing the elasticity of cloud platforms.
Our research in this paper makes significant contribution to quantitative measurement of elasticity in cloud computing.
American Psychological Association (APA)
Ai, Wei& Li, Kenli& Lan, Shenglin& Zhang, Fan& Mei, Jing& Li, Keqin…[et al.]. 2016. On Elasticity Measurement in Cloud Computing. Scientific Programming،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118373
Modern Language Association (MLA)
Ai, Wei…[et al.]. On Elasticity Measurement in Cloud Computing. Scientific Programming No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1118373
American Medical Association (AMA)
Ai, Wei& Li, Kenli& Lan, Shenglin& Zhang, Fan& Mei, Jing& Li, Keqin…[et al.]. On Elasticity Measurement in Cloud Computing. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118373
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118373