Abstract
Service Oriented Architecture (SOA) has emerged as a promising architectural style that provides software applications with high level of flexibility and reusability. However, in several cases where legacy software components are wrapped to be used as web services the final solution does not completely satisfy the SOA aims of flexibility and reusability. The literature review and the industrial applications show that SOA lacks a formal definition and measurement for optimal granularity of web services. Indeed, wrapping several business functionalities as a coarse-grained web services lacks reusability and flexibility. On the other hand, a huge number of fine-grained web services results in a high coupling between services and large size messages transferred over the Internet. The main research question still concerns with “How to determine an optimal level of service granularity when wrapping business functionalities as web services?” This research proposes the Snowball framework as a promising approach to integrate and compose web services. The framework is made up three-step process. The process uses the rules in deciding the web services that have an optimal granularity that maintains the required performance. To demonstrate and evaluate the framework, we realized a car insurance application that was already implemented by a traditional approach. The results show the efficiency of snowball framework over other approaches.
Highlights
Service Oriented Architecture (SOA) allows software systems to be composed as a group of loosely coupled software components called services [1]
The results show the efficiency of snowball framework other traditional approaches
The focus is on the SOA-application that support car insurance claim Business Process (BP), whereby a client request insurance reimbursement for his/her car
Summary
SOA allows software systems to be composed as a group of loosely coupled software components called services [1]. Wrapping several business functionalities as a coarse-grained web services leads to a single use service [8]. Such service lacks reusability and flexibility since the separation of concerns and cohesion are missing. The main research question still concerns with “How to determine an optimal level of service granularity when wrapping business functionalities as web services?”. Snowball aims at providing web services that have the optimal granularity while maintaining the required flexibility, reusability, and high performance in terms of low size of data transferred. The proposed framework has an advantage over other composition frameworks that generally use Business Process Execution Language (BPEL) It integrates and composes services functionalities before the implementation phase. The conclusion section summarizes the contribution, its limitation, its impacts, and future work
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