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Simulation of Configurable Resource Allocation for Cloud-Based Business Processes

  • Université des Sciences et de la Technologie Houari Boumediène
  • Université Paris-Saclay
  • LIST-DTSI-SLA CEA
  • LISITE Laboratory. ISEP

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

7 Citations (Scopus)

Résumé

Cloud computing has enabled provisioning of scalable and virtualized resources to organizations in an ubiquitous and on-demand manner. Likewise, configurable process modeling has enabled organizations to reuse their existing knowledge by sharing a reference process model between different tenants that can be customized according to specific needs. Nevertheless, there are some limitations in this context, (i) it is not cost-effective to make use of real cloud infrastructure such as, Amazon EC2 for experimenting and analyzing the deployment of the best process variant, (ii) frequent changes in the configurations during experimentation using a real cloud setup involves various manual adjustments which is a time-consuming task, (iii) certain conditions prevailing in the internet-based cloud environments are beyond the control of the practitioners involved in such analysis. Thus, making use of simulation environments is one of the good alternative for testing and analyzing the best process variants with optimal resource allocation. Building upon our previous work, we propose in this paper, (i) a unified description model that allows the representation of process activities along with their possible cloud resource allocation alternatives, (ii) a methodology for simulating a configurable process along with its cloud resource consumption, and (iii) an extension of CloudSim framework in order to realize the simulation of the configurable resource allocation for the cloud-based business processes.

Série de publications

NomProceedings - 2017 IEEE 14th International Conference on Services Computing, SCC 2017

Une conférence

Une conférence14th IEEE International Conference on Services Computing, SCC 2017, 14th IEEE International Conference on Services Computing, 24th IEEE International Conference on Web Services, ICWS 2017, 10th IEEE International Conference on Cloud Computing, CLOUD 2017, 6th IEEE International Congress on Big Data, BigData Congress 2017, 6th IEEE International Conference on AI & Mobile Services, AIMS 2017, 2nd IEEE International Congress on Internet of Things, ICIOT 2017, 1st IEEE International Congress on Cognitive Computing, ICCC 2017, 1st IEEE International Conference on Edge Computing, EDGE 2017, and 13th IEEE World Congress on Services, SERVICES 2017)
Pays/TerritoireÉtats-Unis
La villeHonolulu
période25/06/1730/06/17

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