ADVISE – A framework for evaluating cloud service elasticity behavior

Georgiana Copil, Demetris Trihinas, Hong Linh Truong, Daniel Moldovan, George Pallis, Schahram Dustdar, Marios Dikaiakos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

Complex cloud services rely on different elasticity control processes to deal with dynamic requirement changes and workloads. However, enforcing an elasticity control process to a cloud service does not always lead to an optimal gain in terms of quality or cost, due to the complexity of service structures, deployment strategies, and underlying infrastructure dynamics. Therefore, being able, a priori, to estimate and evaluate the relation between cloud service elasticity behavior and elasticity control processes is crucial for runtime choices of appropriate elasticity control processes. In this paper we present ADVISE, a framework for estimating and evaluating cloud service elasticity behavior. ADVISE gathers service structure, deployment, service runtime, control processes, and cloud infrastructure information. Based on this information, ADVISE utilizes clustering techniques to identify cloud elasticity behavior produced by elasticity control. Our experiments show that ADVISE can estimate the expected elasticity behavior, in time, for different cloud services thus being a useful tool to elasticity controllers for improving the quality of runtime elasticity control decisions.

Original languageEnglish
Title of host publicationService-Oriented Computing - 12th International Conference, ICSOC 2014, Proceedings
EditorsAditya K. Ghose, Grace A. Lewis, Sami Bhiri, Xavier Franch
PublisherSpringer Verlag
Pages275-290
Number of pages16
ISBN (Electronic)9783662453902
Publication statusPublished - 1 Jan 2014
Event12th International Conference on Service-Oriented Computing, ICSOC 2014 - Paris, France
Duration: 3 Nov 20146 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8831
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Service-Oriented Computing, ICSOC 2014
CountryFrance
CityParis
Period3/11/146/11/14

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  • Cite this

    Copil, G., Trihinas, D., Truong, H. L., Moldovan, D., Pallis, G., Dustdar, S., & Dikaiakos, M. (2014). ADVISE – A framework for evaluating cloud service elasticity behavior. In A. K. Ghose, G. A. Lewis, S. Bhiri, & X. Franch (Eds.), Service-Oriented Computing - 12th International Conference, ICSOC 2014, Proceedings (pp. 275-290). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8831). Springer Verlag.