The conceptualization of a configurable multi-party multi-message request-reply conversation

Organizations, to function effectively and expand their boundaries, require a deep insight into both process orchestration and choreography of cross-organization business processes. The set of requirements for service interactions is significant, and has not yet been sufficiently refined. Service Interaction Patterns studies by Barros et al. demonstrate this point. However, they overlook some important aspects of service interaction of bilateral and multilateral nature. Furthermore, the definition of these patterns are not precise due to the absence of a formal semantics. In this paper, we analyze and present a set of patterns formed around the subset of patterns documented by Barros et al. concerned with Request-Reply interactions, and extend these ideas to cover multiple parties and multiple messages. We concentrate on the interaction between multiple parties, and analyze issues of a non-guaranteed response and different aspects of message handling. We propose one configurable, formally defined, conceptual model to describe and analyze options and variants of request-reply patterns. Furthermore, we propose a graphical notation to depict every pattern variant, and formalize the semantics by means of Coloured Petri Nets. In addition, we apply this pattern family to evaluate WS-BPEL v2.0 and check how selected pattern variants can be operationalized in Oracle BPEL PM

Information Security in Business Intelligence based on Cloud: A Survey of Key Issues and the Premises of a Proposal

International audienceMore sophisticated inter-organizational interactions have generated changes in the way in which organizations make business. Advanced forms of collaborations, such as Business Process as a Service (BPaaS), allow different partners to leverage business intelligence within organizations. However, although it presents powerfull economical and technical benefits, it also arrises some pitfalls about data security, especially when it is mediated by the cloud. In this article, current aspects which have been tackled in the literature related to data risks and accountability are presented. In addition, some open issues are also presented from the analysis of the existing methodologies and techniques proposed in the literature. A final point is made by proposing an approach, which aims at preventive, detective and corrective accountability and data risk management, based on usage control policies and model driven engineering