Cloud consumers’ requirements possess an inherent dynamic nature, characterized by fluctuating needs in reliability and high-availability relative to their workload. To satisfy these requirements, service reconfiguration strategies are put in place ensuring first, adaptable service provisioning and second, compliance with the agreed-upon Service Level Agreements (SLAs) between consumers and providers. However, deviations between SLAs and “real” observed behaviours could occur even after triggering reconfiguration strategies. Additionally, as organizations increasingly embrace multi-cloud environments, careful consideration must be given to the inherent challenges that arise in this requirements satisfaction. In this paper, we represent these strategies as state machines used to report their conformance to collected logs which track what really happened at run-time. The collected logs are processed to construct state machines suitable for conformance checking. Experiments demonstrating the technical doability of using conformance checking to detect deviations between SLAs and logs, along with verifying the suitability of reconfiguration strategies, are also discussed in the paper.

This paper discusses a novel way of making business processes and Internet of Things (IoT) work together. Indeed each "suffers" from many limitations that the other could help address them and vice versa. On the one hand, business processes are known for capturing organizations' best practices when satisfying users' demands but do not have the capabilities of controlling the physical surrounding that comprises millions of devices/things. On the other hand, IoT is known for provisioning contextualized services to users thanks to millions of devices/things but does not have the capabilities of making these devices/things collaborate. The paper presents a framework to support the collaboration of business processes and IoT. This collaboration is exemplified with 2 types of processes referred as thing-aware processes (TaP) and process-of-things (PoT). A system illustrating the development of PoT is presented in the paper as well.

In a service oriented B2B context, companies aiming to cooperate and interact with others have to make their services available through private service registries. Since the number of registries can be as large as the number of companies, the resulting registry network has to be organized to assist and improve the service discovery process. In this paper, we propose to use communities as a means to organize Web services registries in such a context. First, we propose a semantic model for Web services registry description (WSRD). A WSRD description is a semantic model depicting the functionalities offered by services advertised by a given registry. Thereafter, we propose an implicit approach for building communities based on the registries WSRD descriptions using a fuzzy clustering technique. Eventually, this clustering will be helpful for selecting an adequate registry for service requesters. Provided experimental evaluations in this paper show that our approach is efficient in realistic situations.

In this paper, we discuss the suitability of using recommendation techniques for Web service discovery in distributed registry environments. The architecture we adopt consists in structuring registries of Web services into groups. We propose to adapt existing techniques for recommendation to ease the services discovery process. This consists of (1) recommendation of groups of registries using semantic matching and (2) recommendation of registries within these groups using user-characterization based technique. To put our proposed distributed registry architecture in practise and to test the efficiency of recommendation-based discovery, we propose to simulate a peer-to-peer (P2P) registries environment on top of JXTA platform.