Optimal Cost for Time-Aware Cloud Resource Allocation in Business Process

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

Abstract

Cloud Computing infrastructures are being increasingly used for running business process activities due to its high performance level and low operating cost. The enterprise QoS requirements are diverse and different resources are offered by Cloud providers in various QoS-based pricing strategies. Furthermore, business process activities are constrained by hard timing constraints and if they are not executed correctly the enterprise will pay penalties costs. Therefore, finding the optimal Cloud resources allocation for a business process becomes a highly challenging problem. While optimizing the Cloud resource allocation cost, it is important to respect activities QoS requirements and temporal constraints and Cloud pricing strategies constraints. The aim of the present paper is to offer a method that assists users finding the optimal pricing strategy for Cloud resource used by business process activities. Basically, we use a binary/(0-1) linear program with an objective function under a set of constraints. In order to show its feasibility, our approach has been implemented and the results of our experiments highlight the effectiveness of our proposed solution.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 14th International Conference on Services Computing, SCC 2017
EditorsXiaoqing Liu, Umesh Bellur
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages314-321
Number of pages8
ISBN (Electronic)9781538620052
DOIs
Publication statusPublished - 12 Sept 2017
Event14th IEEE International Conference on Services Computing, SCC 2017 - Honolulu, United States
Duration: 25 Jun 201730 Jun 2017

Publication series

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

Conference

Conference14th IEEE International Conference on Services Computing, SCC 2017
Country/TerritoryUnited States
CityHonolulu
Period25/06/1730/06/17

Keywords

  • Business Process
  • Cloud Computing
  • Optimization
  • Pricing Strategy
  • Time

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