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Another major problem faced by SOA is the lack of a uniform testing framework. There are no tools that provide the required features for testing these services in a service-oriented architecture. The major causes of difficulty are: [39] Heterogeneity and complexity of solution. Huge set of testing combinations due to integration of autonomous ...
Loose coupling is an architectural principle and design goal in service-oriented architectures. Eleven forms of loose coupling and their tight coupling counterparts are listed in: [4] physical connections via mediator, asynchronous communication style, simple common types only in data model, weak type system, data-centric and self-contained ...
The service-orientation design principles help in distinguishing a service-oriented solution [14] from a traditional object-oriented solution by promoting distinct design characteristics. The presence of these characteristics in a service-oriented solution greatly improves the chances of realizing the aforementioned goals and benefits.
Within service-oriented solutions, a service contract represents a fundamental artifact, as this is the only medium through which services interact with each other or other consumer programs. This creates a strong need to standardize the service contracts in order to make services reusable and recomposable as much as possible.
SOA 2.0 is the ability to create high-level business events from numerous low-level system events. Events are created by filtering real-time data (from middleware, applications, databases, and Web services, for example) and infusing it with defining detail such as dependencies or causal relationships discovered by correlating other events.
Technologies such as virtual organization in grid computing, application-oriented networking (AON) and XML gateways are addressing the problem of SOA security in the larger context. XML gateways are hardware or software based solutions for enforcing identity and security for SOAP, XML, and REST based web services, usually at the network perimeter.
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The application of the service composability principle requires designing services so that they can be used in a service composition either as a service that controls other services, i.e. a controller service, or as a service that provides functionality to other services in the composition without further composing other services, i.e. a composition member.