Service Composition Design Pattern for Autonomic Computing Systems Using Association Rule Based Learning and Service-Oriented Architecture

In the Service Oriented Architecture (SOA) model, a service is characterized by its exchange of asynchronous messages, and a service contract is a desirable composition of a variety of messages. Though this model is simple, implementing large-scale, cross-organizational distributed applications may be difficult to achieve in general, as there is no guarantee that service composition will be possible because of incompatibilities of Web service contracts. We categorize compatibility issues in Web service contracts into two broad categories: (a) between contracts of different services (which we define as a composability problem), and (b) a service contract and its implementation (which we define as a conformance problem). This chapter examines and addresses these problems, first by identifying and specifying contract compatibility conditions, and second, through the use of compatibility checking tools that enable application developers to perform checks at design time.

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A Novel Physics Inspired Approach for Web Service Composition

International Journal of Web Services Research ◽

10.4018/ijwsr.2014040104 ◽

2014 ◽

Vol 11 (2) ◽

pp. 67-84 ◽

Cited By ~ 1

Author(s):

Tanveer Ahmed ◽

Abhishek Srivastava

Keyword(s):

Web Services ◽

Web Service ◽

Service Composition ◽

Service Oriented Architecture ◽

Service Providers ◽

Web Service Composition ◽

Heterogeneous Services ◽

Service Oriented ◽

Service Consumer ◽

Selection Of

Service oriented architecture has revolutionized the way a traditional business process is executed. The success of this architecture is Indue to the composition of multiple heterogeneous services at runtime. Web service composition is a mechanism where several web services are combined at runtime to build a complex application for a user. It is one of the most sought after processes in the context of semantic web. But, composition of web services at runtime is a difficult task owing to the availability of multiple service providers offering the same functionality. The process if exasperated by due conflicting preferences of a service consumer. In this paper, the authors address the issue of selecting a service based on Quality of Service (QoS) attributes. They utilize concepts customized from physics to create an environment that facilitates the selection of a best service from the set of similar services. The technique not only facilitates the selection of the service with the best QoS attributes, but distributes the load among expeditiously. Here in this paper, the authors concentrate on minimizing and equitably balancing the waiting time for a user. They conduct in silico experiments on multiple workflows to demonstrate the efficacy of the proposed technique to balance load efficiently among similar service offerings.

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A Rule-Based Approach to Automatic Service Composition

International Journal of Ambient Computing and Intelligence ◽

10.4018/jaci.2012010102 ◽

2012 ◽

Vol 4 (1) ◽

pp. 16-28 ◽

Cited By ~ 3

Author(s):

Maria J. Santofimia ◽

Xavier del Toro ◽

Felix J. Villanueva ◽

Jesus Barba ◽

Francisco Moya ◽

...

Keyword(s):

Service Composition ◽

Ambient Intelligence ◽

Rule Based ◽

Service Oriented ◽

Promising Solution ◽

Automatic Service Composition ◽

Rule Based Approach

The incapability to foresee or react to all the events that take place in a specific environment supposes an important handicap for Ambient Intelligence systems, expected to be self-managed, proactive, and goal-driven. Endowing such systems with capabilities to understand and reason about context seems like a promising solution to overcome this hitch. Supported on the service-oriented paradigm, composing rather than combining services provides a reasonable mean to implement versatile systems. This paper describes how systems for Ambient Intelligence can be improved by combining automatic service composition and reasoning capabilities upon a distributed middleware framework.

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