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Towards resource-aware business process development in the cloud

  • CNRS UMR 5157 SAMOVAR

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years, cloud environments have emerged as a new paradigm for the execution and the deployment of cost-reduced and optimized business processes. Nevertheless, due to the lack of explicit and formal description of the resource perspective in existing business processes, cloud resources cannot be efficiently and optimally managed. With the aim of formalizing the consumed cloud resources using a shared knowledge base, we propose in this paper a semantic framework for resource-aware business process development in the cloud. Basically, our proposed semantic framework allows for (1) resource description in a formal and unique way, (2) resource allocation management and (3) resource constraints verification. In order to show its feasibility, our approach has been implemented as an extension of Signavio process editor and tested using a real use case study from an industrial partner.

Original languageEnglish
Title of host publicationProceedings - IEEE 29th International Conference on Advanced Information Networking and Applications, AINA 2015
EditorsLeonard Barolli, Makoto Takizawa, Fatos Xhafa, Tomoya Enokido, Jong Hyuk Park
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages761-768
Number of pages8
ISBN (Electronic)9781479979042
DOIs
Publication statusPublished - 29 Apr 2015
Event29th IEEE International Conference on Advanced Information Networking and Applications, AINA 2015 - Gwangju, Korea, Republic of
Duration: 25 Mar 201527 Mar 2015

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
Volume2015-April
ISSN (Print)1550-445X

Conference

Conference29th IEEE International Conference on Advanced Information Networking and Applications, AINA 2015
Country/TerritoryKorea, Republic of
CityGwangju
Period25/03/1527/03/15

Keywords

  • Business Process Management
  • Cloud Computing
  • Resource Management

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