Optimal deployment of configurable business processes in cloud federations

Molka Rekik, Khouloud Boukadi, Nour Assy, Walid Gaaloul, Hanene Ben-Abdallah

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Configurable processes are increasingly being adopted by enterprises that seek experience sharing and best practice adoption. A configurable process is a customizable model that specifies how different enterprises perform similar processes. At the modeling level, a configurable process model provides for flexible business process (BP) reuse by (de)selecting the (ir)relevant parts to derive a particular process variant. At the exploitation level, it offers flexibility and agility to an enterprise looking to outsource its BP to different providers cooperating in a cloud federation. More specifically, an enterprise can use a configurable process model to derive particular process variants that it outsources depending on its objectives. In particular, it may opt for outsourcing the variant that results in the optimal deployment, e.g., having the minimal cost of allocated cloud services that fulfill the user quality of service (QoS) requirements. However, identifying the optimal deployment variants is a complex problem because of the heterogeneity of services within a cloud federation and the number of possible variants that can be derived from a configurable process model. In addition, the complexity of this problem increases for variable user QoS requirements. In this paper, we propose an approach to derive, from a configurable process model, the variant that has the optimal deployment in a cloud federation. We propose a linear programming approach that accounts for the variability of both the BP model and the user QoS requirements, and that ensures an optimal time-aware cloud service allocation. We experimentally show the effectiveness and flexibility of our approach on a generated testbed.

Original languageEnglish
Article number8527548
Pages (from-to)1692-1705
Number of pages14
JournalIEEE Transactions on Network and Service Management
Volume15
Issue number4
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Cloud computing
  • cloud federation
  • configurable business process
  • Linear programming
  • linear programming
  • Logic gates
  • optimal deployment.
  • QoS requirement variability
  • Quality of service
  • Resource management
  • Security
  • optimal deployment
  • Configurable business process

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