About: Service-oriented software engineering is a research topic. Over the lifetime, 65 publications have been published within this topic receiving 2289 citations.
TL;DR: This work introduces a novel, tool-supported framework for the development of adaptive service-based systems called QoSMOS (QoS Management and Optimization of Service- based systems), which translates high-level QoS requirements specified by their administrators into probabilistic temporal logic formulae, which are then formally and automatically analyzed to identify and enforce optimal system configurations.
Abstract: Service-based systems that are dynamically composed at runtime to provide complex, adaptive functionality are currently one of the main development paradigms in software engineering. However, the Quality of Service (QoS) delivered by these systems remains an important concern, and needs to be managed in an equally adaptive and predictable way. To address this need, we introduce a novel, tool-supported framework for the development of adaptive service-based systems called QoSMOS (QoS Management and Optimization of Service-based systems). QoSMOS can be used to develop service-based systems that achieve their QoS requirements through dynamically adapting to changes in the system state, environment, and workload. QoSMOS service-based systems translate high-level QoS requirements specified by their administrators into probabilistic temporal logic formulae, which are then formally and automatically analyzed to identify and enforce optimal system configurations. The QoSMOS self-adaptation mechanism can handle reliability and performance-related QoS requirements, and can be integrated into newly developed solutions or legacy systems. The effectiveness and scalability of the approach are validated using simulations and a set of experiments based on an implementation of an adaptive service-based system for remote medical assistance.
TL;DR: This paper proposes an approach to trigger and perform composite service replanning during execution and an evaluation has been performed simulating execution and replanting on a set of composite service workflows.
Abstract: Run-time service discovery and late-binding constitute some of the most challenging issues of service-oriented software engineering. For late-binding to be effective in the case of composite services, a QoS-aware composition mechanism is needed. This means determining the set of services that, once composed, not only will perform the required functionality, but also will best contribute to achieve the level of QoS promised in service level agreements (SLAs). However, QoS-aware composition relies on estimated QoS values and workflow execution paths previously obtained using a monitoring mechanism. At run-time, the actual QoS values may deviate from the estimations, or the execution path may not be the one foreseen. These changes could increase the risk of breaking SLAs and obtaining a poor QoS. Such a risk could be avoided by replanning the service bindings of the workflow slice still to be executed. This paper proposes an approach to trigger and perform composite service replanning during execution. An evaluation has been performed simulating execution and replanning on a set of composite service workflows.
TL;DR: Service-oriented software engineering incorporates the best features of both the services and cloud computing paradigms, offering many advantages for software development and applications, but also exacerbating old concerns.
Abstract: Service-oriented software engineering incorporates the best features of both the services and cloud computing paradigms, offering many advantages for software development and applications, but also exacerbating old concerns.
TL;DR: This paper proposes a multi-model driven collaborative development platform for service-oriented e-Business systems that provides engineers/consultants with three views to support service- oriented software engineering, top-down business design and bottom-up service composite and development.