Analysis and Strategy for the Performance Testing in Cloud Computing

1
Dr. Eljona Proko
Dr. Eljona Proko
2
Ilia Ninka
Ilia Ninka
1 Vlora University

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The aim of this study is the analysis and presentation of some ideas on performance testing in Cloud Computing. Performance is an important factor in testing a web application. Performance testing in cloud computing is different from that of traditional applications. Our research methodology in this article includes an overview of existing works on testing performance in Cloud Computing, focusing on discussion that the traditional benchmarks are not sufficient to analyze performance testing in Cloud Computing. In this study we are focused mainly on analysis performance metrics in Cloud Computing, based on their characteristics such as elasticity, scalability, pay-per-use and fault tolerance, and then we discuss why needed new strategies for performance testing in Cloud Computing and creation of new benchmarks. From this study we conclude that the performance testing and evaluation should be performed using new models testing, which are created according to Cloud Computing characteristics and metrics.

12 Cites in Articles

References

  1. J Meier (2007). Performance Testing Guidance for Web Applications.
  2. B Hayes (2008). Cloud computing.
  3. Peter Mell,T Grance (2011). The NIST definition of cloud computing.
  4. M Armbrust (2009). Above the clouds: A berkeley view of cloud computing.
  5. Ian Molyneaux The Art of Application Performance Testing.
  6. M Kareim,Ahmed Sobhe,Sameh Multi-Channel Clustered Web App lication Server" 7.
  7. Jacques Bonnet (2011). L'Isle d'Abeau: un enjeu économique pour Rhône-Alpes / L'Isle d'Abeau : an economic challenge for the region of Rhône-Alpes.
  8. David Cleary (null). Software and systems engineering. Software measurement. IFPUG functional size measurement method 2009.
  9. Gurdev Singh,Shanu Sood,Amit Sharma (2011). CM Measurement Facets for Cloud Performance.
  10. Chunye Gong,Jie Liu,Qiang Zhang,Haitao Chen,Zhenghu Gong The Characteristics of Cloud Computin 12. Cognizant, Taking Testing to the Cloud.
  11. Tpc Benchmark,Tm (2000). Specification Version 1.
  12. Márk Kaszó Tihamér Levendovszky TPC Benchmark.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Dr. Eljona Proko. 2012. \u201cAnalysis and Strategy for the Performance Testing in Cloud Computing\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 12 (GJCST Volume 12 Issue B10): .

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GJCST Volume 12 Issue B10
Pg. 11- 14
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

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July 7, 2012

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English

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The aim of this study is the analysis and presentation of some ideas on performance testing in Cloud Computing. Performance is an important factor in testing a web application. Performance testing in cloud computing is different from that of traditional applications. Our research methodology in this article includes an overview of existing works on testing performance in Cloud Computing, focusing on discussion that the traditional benchmarks are not sufficient to analyze performance testing in Cloud Computing. In this study we are focused mainly on analysis performance metrics in Cloud Computing, based on their characteristics such as elasticity, scalability, pay-per-use and fault tolerance, and then we discuss why needed new strategies for performance testing in Cloud Computing and creation of new benchmarks. From this study we conclude that the performance testing and evaluation should be performed using new models testing, which are created according to Cloud Computing characteristics and metrics.

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Analysis and Strategy for the Performance Testing in Cloud Computing

Dr. Eljona Proko
Dr. Eljona Proko Vlora University
Ilia Ninka
Ilia Ninka

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