Reliability and Performance Estimation for Enriched WS-SAGAS

Over the last couple of years, the Web services compositions paradigm has been gathering a considerable momentum to grasp at the opportunity of becoming the most natural solution for autonomous and heterogeneous applications integration. In this paper, we advocate that we have yet to be concerned about the reliability and performance levels that the Web services composition will exhibit upon execution, which is still an ongoing research problem finding notable interest. Focusing on this issue, we propose to estimate the reliability and performance of Web services compositions. We concentrate on one important aspect that has received little attention so far: the consideration of the failures repercussions on the overall composition execution performance. Specifically, our targets are twofold. Firstly, we propose to enrich WS-SAGAS with a new set of advanced aggregation patterns so that it fits with the inherent business processes complexity and thereby it allows to specify, as Web services compositions, any business process no matter how it turns out to. Secondly, we propose to estimate the reliability and performance of each of these patterns, and this, in both, correct and faulty situations. Our enriched WS-SAGAS model ameliorates considerably the chances to acquire more plausible estimations of the reliability and performance because of its failure awareness. Moreover, analyzing these estimations helps to investigate the reasons that may lay behind these failures and indeed to contribute noticeably to acquire more reliable compositions execution with high performance level