Notice of Violation of IEEE Publication PrinciplesDynamic Binding Framework for Adaptive Web Services

Notice of Violation of IEEE Publication Principles

"Dynamic Binding Framework for Adaptive Web Services,"
by A. Erradi, P. Maheshwari
in the Proceedings of the Third International Conference on Internet and Web Applications and Services, 2008. ICIW \´08, June 2008, pp. 162-167

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

"Foundations of Software Engineering,"
by A. Michlmayr, F. Rosenberg, C. Platzer, M. Treiber, S. Dustdar
in the Proceedings of the 2nd International Workshop on Service Oriented Software Engineering: In Conjunction with the 6th ESEC/FSE Joint Meeting, Sept 2007, pp. 22-28

Dynamic selection and composition of autonomous and loosely-coupled Web services is increasingly used to automate business processes. The typical long-running characteristic of business processes imposes new management challenges such as dynamic adaptation of running process instances. To address this, we developed a policy-based framework, named manageable and adaptable service compositions (MASC) , to declaratively specify policies that govern: (1) discovery and selection of services to be used, (2) monitoring to detect the need for adaptation, (3) reconfiguration and adaptation of the process to handle special cases (e.g., context-dependant behavior) and recover from typical faults in service-based processes. The identified constructs are executed by a lightweight service-oriented management middleware named MASC middleware. We implemented a MASC proof-of-concept prototype and evaluated it on stock trading case study scenarios. We conducted exten- sive studies to demonstrate the feasibility of the proposed techniques and illustrate the benefits of our approach in providing adaptive composite services using the policy-based approach. Our performance and scalability studies indicate that MASC middleware is scalable and the introduced overhead are acceptable.