By Topic

Efficient Web Services Message Exchange by SOAP Bundling Framework

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

Web services use an interoperable and loosely coupled data exchange architecture. Web services processing can cause significant runtime overhead, especially when the number of fine-grained transactions becomes large. Although some best-practice guidelines recommend coarse-grained messages to improve the performance of web services, coarse-grained services may interfere with the componentization of the services. Service granularity should be designed for reusability and modularity. In this paper, we propose a SOAP message bundling framework. This framework enables bundling multiple messages into one message. With this framework, application developers do not have to consider the service granularity. Instead, the framework bundles some fine-grained messages into a single coarse-grained message. To support this framework, we provide for service providers (1) a WSDL conversion tool and (2) a skeleton wrapper generator. These tools let service providers receive bundled messages without modifying existing service implementations. We also provide (3) a stub wrapper generator that allows service requesters to use bundled services easily. The existing message exchanges are not influenced by this framework. We evaluated the performance gain in experiments using the Google SOAP API. The results showed that our approach improves the performance of web services.

Published in:

Enterprise Distributed Object Computing Conference, 2007. EDOC 2007. 11th IEEE International

Date of Conference:

15-19 Oct. 2007