Towards self-adaptive service-oriented architectures

Abstract

Web services, service-oriented, and service-discovery architectures help developers solve complex business cases, reduce costs, risks, and time-to-market. The task of developers is challenged by the difficulty of guaranteeing interoperability with target web services, since the lack of information about the interaction protocol of dynamically discovered web services may lead to unexpected runtime failures. This paper proposes an approach to design self-adaptive serviceoriented architectures. The approach enables clients to automatically adapt their behavior to alternative web services that provide compatible functionality through different interaction protocols. It uses an infrastructure that traces the successful interactions of the web services, automatically synthesize models that approximate the interaction protocols, and steer client-side adaptations at runtime.

Service Selection Based on Dominant Role of the Choreography

“…WSDL files are used to match semantic details like input/output but do not contain details like invocation order of the operation. [6] proposed extended SOA architecture which resolves such kind of issues. They proposed interaction protocol service extension (IPSE) to capture the order of invocation of the client.…”

Service Oriented Computing in Practice – An Agenda for Research into the Factors Influencing the Organizational Adoption of Service Oriented Architectures

“…Service providers register or publish their service descriptions in one or more service registries or discovery agencies well-known across the network [3], [22]. These registries are the equivalent of directories for business applications, allowing businesses to publish their array of services, and allowing clients to search for available services and programmatically invoke them [81].…”

A scenario-based verification technique to assess the compatibility of collaborative business processes

“…Some of these techniques were particularly developed for the business processing modeling discipline, such as BPMN [76,78], BPEL [1], EPC [44]. Some evolved or emerged from other conceptual modeling areas, such as finite state machines [36,16], activity diagrams [58], P-calculus [56] and Petri Nets [62]. Very often there is an emphasis on implementation aspects, especially when business processes are modeled the way they are executed.…”