An Accounting Framework on Federated Service-Oriented Architecture

Service-Oriented Architecture (SOA) is used in more and more scientific and business applications. But self-examination and adaptation are overlooked by most system designers. Extant service accounting functionalities mainly focus on error causes, which are insufficient for history analysis and event prediction. This paper not only analyzes system events from both service consumers and providers, but also, starting from Maslow's needs hierarchy, provides a layered accounting framework for service federations. More than that, in matching and prediction model, a pipeline approach is employed rather than deterministic finite automaton (DFA), and a dependence estimator algorithm is introduced avoiding the deficiency in naive Bayes network for machine-learning and prediction. And then, based on these modules, a self-healing layer is built up to achieve decomposing, ranking, re-composing functionalities