Towards Model-Driven Variability-Based Flexible Service Compositions

Abstract

In cloud computing, variability becomes a crucial ability of process-based cloud applications. Existing solutions either focused on modeling variability in the architectural model or tried to support dynamic variability management in implementation. An integrated approach that can inherit the virtues from both categories is expected. The paper aims to fill the gap by proposing a model-driven variability-based service composition approach. We propose VxUML to model the variability in the architecture model. Then, we define a set of model transformation rules to convert VxUML into VxBPEL (an extension to standard BPEL supporting variability at the implementation level). Finally, we implement a prototype tool, and present a case study to demonstrate the feasibility of our approach.