A new dataset and benchmark for cloud computing service composition

Amin Jula, Hamid Nilsaz, Elankovan A Sundararajan, Zalinda Othman

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

1 Citation (Scopus)

Abstract

Cloud computing as an effective computing approach is attracting increasingly the attention of heavy processing applicants to its capabilities. Cloud suppliers try to prevent any service-request unanswered utilizing a large number of service providers. Selecting optimal unique-services in cloud computing service composition (CCSC) is a noteworthy problem that must be addressed extremely accurate and scrupulously. Recently, considerable studies have been done for solving CCSC, however lack of widely accepted and reliable CCSC problems for fair and equitable comparison of proposing methods, is a blind spot and should be considered as a high-priority problem. In this paper, a reliable set of ten CCSC problems is introduced (CCSC-Benchmark) which is prepared to be used as a 'standard test' in future works. To complete the usability of the problem set, the best solutions of the generated problems are also found and presented to provide a facility for calculating error rate of the proposed methods.

Original languageEnglish
Title of host publicationProceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS
PublisherIEEE Computer Society
Pages83-86
Number of pages4
Volume2015-September
ISBN (Print)9781479938575
DOIs
Publication statusPublished - 28 Sep 2015
Event5th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2014 - Langkawi, Malaysia
Duration: 27 Jan 201429 Jan 2014

Other

Other5th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2014
CountryMalaysia
CityLangkawi
Period27/1/1429/1/14

Fingerprint

Service Composition
Cloud computing
Cloud Computing
Benchmark
Chemical analysis
Usability
Error Rate
Computing
Processing

Keywords

  • Benchmark
  • Best Practices
  • Cloud Computing
  • Dataset
  • QoS
  • Quality of Service Parameters
  • Service Composition
  • Service Selection
  • Standard Test

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Modelling and Simulation
  • Theoretical Computer Science

Cite this

Jula, A., Nilsaz, H., A Sundararajan, E., & Othman, Z. (2015). A new dataset and benchmark for cloud computing service composition. In Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS (Vol. 2015-September, pp. 83-86). [7280884] IEEE Computer Society. https://doi.org/10.1109/ISMS.2014.22

A new dataset and benchmark for cloud computing service composition. / Jula, Amin; Nilsaz, Hamid; A Sundararajan, Elankovan; Othman, Zalinda.

Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS. Vol. 2015-September IEEE Computer Society, 2015. p. 83-86 7280884.

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

Jula, A, Nilsaz, H, A Sundararajan, E & Othman, Z 2015, A new dataset and benchmark for cloud computing service composition. in Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS. vol. 2015-September, 7280884, IEEE Computer Society, pp. 83-86, 5th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2014, Langkawi, Malaysia, 27/1/14. https://doi.org/10.1109/ISMS.2014.22
Jula A, Nilsaz H, A Sundararajan E, Othman Z. A new dataset and benchmark for cloud computing service composition. In Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS. Vol. 2015-September. IEEE Computer Society. 2015. p. 83-86. 7280884 https://doi.org/10.1109/ISMS.2014.22
Jula, Amin ; Nilsaz, Hamid ; A Sundararajan, Elankovan ; Othman, Zalinda. / A new dataset and benchmark for cloud computing service composition. Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS. Vol. 2015-September IEEE Computer Society, 2015. pp. 83-86
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