Welcome to the InfoSci Platform
Reference Hub5
Adaptation Space: A Design Framework for Adaptive Web Services

Adaptation Space: A Design Framework for Adaptive Web Services

Henrique Paques, Ling Liu, Calton Pu
Copyright: © 2004 |Volume: 1 |Issue: 3 |Pages: 24
ISSN: 1545-7362|EISSN: 1546-5004|ISSN: 1545-7362|EISBN13: 9781615204649|EISSN: 1546-5004|DOI: 10.4018/jwsr.2004070101
Cite Article Cite Article

MLA

Paques, Henrique, et al. "Adaptation Space: A Design Framework for Adaptive Web Services." IJWSR vol.1, no.3 2004: pp.1-24. http://doi.org/10.4018/jwsr.2004070101

APA

Paques, H., Liu, L., & Pu, C. (2004). Adaptation Space: A Design Framework for Adaptive Web Services. International Journal of Web Services Research (IJWSR), 1(3), 1-24. http://doi.org/10.4018/jwsr.2004070101

Chicago

Paques, Henrique, Ling Liu, and Calton Pu. "Adaptation Space: A Design Framework for Adaptive Web Services," International Journal of Web Services Research (IJWSR) 1, no.3: 1-24. http://doi.org/10.4018/jwsr.2004070101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Web service adaptation is an important feature for mission critical Web services. It is widely recognized that thrashing and crashes occur in system saturation for many statically adaptive resource management algorithms, including CPU, memory, and network congestion. Service adaptation supports alternative responses to saturation control, maintaining service and server system stability and progress, instead of thrashing. In this article, we present a design framework for developing adaptive Web services. The core of this framework is the adaptation space model, which is based on the concepts of adaptation space and adaptation case. An adaptation space is defined by a reference context and a partial order of adaptation cases. Each adaptation case describes a specific adaptation of a program or component of a Web service. We evaluate the adaptation space approach using Ginga, an adaptive query processing service for handling queries over multiple data sources with diverse capabilities across the Internet. Our experimental results show that Ginga query adaptation can achieve significant performance improvements (up to 40% of response time gain) for processing distributed queries over the Internet in the presence of end-to-end delays.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.