Predicting the QoS of service orchestrations
Leonardo Bartoloni, Antonio Brogi, Ahmad Ibrahim · UnipiEprints Open Archive (Università di Pisa) · 2015
The ability to a priori predict the QoS of a service orchestration is of pivotal importance both for the design of service compositions and for the definition of their SLAs. In this paper we present an algorithm to probabilistically predict the QoS of WS-BPEL service orchestrations. Our algorithm employs Monte Carlo simulations and it improves previous approaches by coping with complex dependency structures, unbound loops, fault handling, and unresponded service invocations. A proof-of-concept implementation of the algorithm in F# is described.