A Hybrid Approach based on Reuse Techniques for Autonomic Adaptation of Business Processes

EasyChair Preprint 4381

Abstract

Complexity of highly dynamic environments in which processes op- erate makes their adaptation difficult to perform. However, adaptation of an in- progress process is an essential requirement for any Business Process Manage- ment System (BPMS). So, several contributions have recommended the use of the MAPE-K (Monitor, Analyze, Plan, Execute - Knowledge) control loop from the autonomic computing as a solution to tackle this issue, thus bringing BPMS with self-adaptation capabilities. However, in these contributions, a comprehen- sive overview of the generic process self-adaptation has been missing. Moreo- ver, faced with the high cost and the difficulty of self-adapting processes, the idea of capitalizing on previous adaptation solutions by implementing reuse techniques is appealing. In this paper, we recommend a hybrid approach to adapt running processes using versions, previous adaptation cases and rules as reuse techniques. Our solution is implemented as an adaptation engine that in- stantiates the MAPE-K control loop and that can be connected to any BPMN- based BPMS using appropriate adapters. Our adaptation engine is therefore re- usable. Finally, we demonstrate the advantages and feasibility of the recom- mended approach with an example from the crisis domain.

Keyphrases: Adaptation Case, MAPE-K, context, rule, self-adaptation, version

@booklet{EasyChair:4381,
  author    = {Jamila Oukharijane and Mohamed Amine Chaabâne and Imen Ben Said and Eric Andonoff and Rafik Bouaziz},
  title     = {A Hybrid Approach based on Reuse Techniques for  Autonomic Adaptation of Business Processes},
  howpublished = {EasyChair Preprint 4381},
  year      = {EasyChair, 2020}}