An integrated framework for adapting WS-BPEL scenario execution using QoS and collaborative filtering techniques

• We present an algorithm combining QoS and collaborative filtering for BPEL adaptation.
• The combination introduces collaborating filtering functionality maintaining high QoS.
• We exploit the sparsity of the rating matrix to tackle known issues of CF.
• We evaluate the approach both in terms of performance and adaptation QoS.

In this paper, we present a framework which incorporates runtime adaptation for BPEL scenarios. The adaptation is based on (a) the quality of service parameters of available services, allowing for tailoring their execution to the diverse needs of individual users and (b) collaborative filtering techniques, allowing clients to further refine the adaptation process by considering service selections made by other clients, in the context of the same business processes. The proposed framework also caters maintaining the transactional semantics that invocations to multiple services offered by the same provider may bear.