Abstract-Performing functionality testing in serviceoriented architectures is not a trivial task. The difficulty is especially the large number of components that may be present in a SOA such as brokers, providers, service registries, clients, monitoring tools, data storage tools, etc. Thus, in order to facilitate the process of conducting functional testing and capacity planning in service-oriented systems, we present PEESOS. This first version is a functional prototype that offers facilities to assist researchers and industry to test their new applications, allowing collaborations that can be done between the participants to achieve an appropriate objective when developing a new application. The first results show that it is possible to make a planning environment easier to operate and to readily obtain results for performance evaluation of a target architecture. Since this is a first version of the prototype, it has interface and scalability limitations as well as needing improvements in performance of the logs repository and also in a core engine. We hope that such limitations can be corrected in the near future, including gathering information from the scientific community to make the prototype a useful and accessible tool. PEESOS is on-line and available at http://peesos.wsarch.lasdpc.icmc.usp.br.

Abstract-This paper analyzes the execution behavior of web services on devices with limited resources. To conduct the experiments, web services are available for both Axis2 and CXF framework. To determine which framework is better suited for service provision, a performance and energy evaluation between them is presented. In this context, services developed with CXF framework proved to be more suitable for these devices, since its abstract implementation details both services provider and clients applications, also it has shorter times to process large amount of data.

Abstract-Fault tolerance techniques can improve the trust of users in service oriented architectures as they can ensure data availability. This paper presents an implementation of a novel fault tolerance mechanism in a SOA architecture which simultaneously provides increased availability and better quality of service. In addition to this mechanism, a service selector using reputation ratings of the architecture components is discussed. The selection is based on information from past transactions of the components of the architecture, which allows to identify the best web services able to meet the requests of customers. The mechanisms are tested and a performance evaluation is presented to validate the results.

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Current distributed computing environments, such as Cloud Computing, Grid Computing and Internet of Things are typically complex and present dynamic scenarios, which makes the execution of experiments, tests and performance evaluations challenging. Performing large scale experiments in Service-Oriented Computing (SOC) environments can be a difficult and complex task. In this paper, we propose a Distributed and Collaborative Architecture for Conducting Experiments in Service Oriented Systems (DCA-SERVICES). DCA-SERVICES is a client-server architecture that provides a real environment to execute experiments in systems based on the SOC paradigm. Using the DCA-SERVICES and our developed tool named Planning and Execution of Experiments in Service Oriented Systems (PEESOS), we were able to execute experiments, tests, and analyze a target system environment quickly and efficiently.