Evaluating cloud platform architecture with the CARE framework

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - Asia-Pacific Software Engineering Conference, APSEC
Pages60-69
Publication statusPublished - 2010
Externally publishedYes

Publication series

Name
ISSN (Print)1530-1362

Conference

Title17th Asia Pacific Software Engineering Conference: Software for Improving Quality of Life, APSEC 2010
PlaceAustralia
CitySydney, NSW
Period30 November - 3 December 2010

Abstract

There is an emergence of Cloud application platforms such as Microsoft's Azure, Google's App Engine and Amazon's EC2/SimpleDB/S3. Startups and Enterprise alike, lured by the promise of 'infinite scalability', 'ease of development', 'low infrastructure setup cost' are increasingly using these Cloud service building blocks to develop and deploy their web based applications. However, the precise nature of these Cloud platforms and the resultant Cloud application runtime behavior is still largely an unknown. Given the black box nature of these platforms, and the novel programming and data models of Cloud, there is a dearth of tools and techniques for enabling the rigorously evaluation of Cloud platforms at runtime. This paper introduces the CARE (Cloud Architecture Runtime Evaluation) approach, a framework for evaluating Cloud application development and runtime platforms. CARE implements a unified interface with WSDL and REST in order to evaluate different Cloud platforms for Cloud application hosting servers and Cloud databases. With the unified interface, we are able to perform selective high stress and low stress evaluations corresponding to desired test scenarios. Result shows the effectiveness of CARE in the evaluation of Cloud variations in terms of scalability, availability and responsiveness, across both compute and storage capabilities. Thus placing CARE as an important tool in the path of Cloud computing research. © 2010 IEEE.

Research Area(s)

  • Amazon EC2, Amazon S3, Amazon simpledb, Amazon web services, CARE, Cloud computing, Google App Engine, Microsoft azure, Performance evaluation

Citation Format(s)

Evaluating cloud platform architecture with the CARE framework. / Zhao, Liang; Liu, Anna; Keung, Jacky.

Proceedings - Asia-Pacific Software Engineering Conference, APSEC. 2010. p. 60-69 5693181.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)