Current Research Project
The Decentralized Data Dependency (D3) Analysis Project
(This material is based upon work supported by the National Science Foundation under Grant No. CCF-0820152. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation)Title: SRS: A Decentralized and Rule-Based Approach to Data Dependency Analysis and Failure Recovery in a Service-Oriented Environment
Principal Investigator: Dr. Susan D. Urban
Presentations:Project Background and Research Objectives
Summary of Findings (year 3):Findings for the Assurance Point Approach to Service Composition and Recovery
Findings for Invariants
Findings for Application Exception Rules
Findings from Undergraduate Researchers Supported through the NSF REU Supplement and the NSF REU Site Program
Publications:Susan D. Urban, Ziao Liu, Le Gao, Decentralized Data Dependency Analysis for Concurrent Process Execution, Enterprise Distributed Object Computing Conference Workshops, 2009, Page(s):74 - 83
(Click here to see EDOC Workshop Published Papers)
Susan D. Urban, Le Gao, Rajiv Shrestha, and Andrew Courter, “The Dynamics of Process Modeling: New Directions for the Use of Events and Rules in Service-Oriented Computing,” in The Evolution of Conceptual Modeling, R. Kaschek and L. Delcambre (editors), Lecture Notes in Computer Science 6520, pp. 205-224, Springer, Heidelberg, 2010.
Susan D. Urban, Le Gao, Rajiv Shrestha, and Andrew Courter, “Achieving Recovery in Service Composition with Assurance Points and Integration Rules,” Proceedings of the Cooperative Information Systems Conference (Crete, Greece) as part of On the Move (OTM) 2010, Part 1, Lecture Notes in Computer Science 6426, Springer, Heidelberg, pp. 428-437.
Susan D. Urban, Ziao Liu, and Le Gao, Decentralized Communication for Data Dependency Analysis Among Process Execution Agents and Integration Rules. to appear in Volume 8, Issue 4 (October-December 2011) of the International Journal of Web Services Research.
Susan D. Urban, Le Gao, , Rajiv Shrestha1, Yang Xiao, Zev Friedman1, and Jonathan Rodriguez1, The Assurance Point Model for Consistency and Recovery in Service Composition. to appear in IGI Global publication, Innovations, Standards and Practices of Web Services: Emerging Research Topics.
Susan D. Urban, Andrew Courter, Le Gao, and Mary Shuman, Supporting Data Consistency in Concurrent Process Execution With Assurance Points and Invariants. in Rule-Based Modeling and Computing on the Semantic Web F. Olken, M. Palmirani, D. Sottara (Eds.): RuleML 2011 - America, LNCS 7018. RuleML2011@BRF best paper award winner.
Le Gao, Susan D. Urban and Janani Ramachandran, A Survey of Transactional Issues forWeb Service Composition and Recovery. to appear in International Journal of Web and Grid Services, 2011(4) issue.
A Robust Web Service Composition Model with Decentralized Data Dependency
Analysis and Rule-based Failure Recovery Capability
PhD Dissertation Proposal, Texas Tech University, Department of Computer Science, July 2011. presentation
Janani Ramachandran, Integrating Exception Handling and Data
Dependency Analysis through Application
Exception Rules ,
M.S. Thesis Proposal, Texas Tech University, Department of Computer Science, Fall 2010. presentation
Andrew Courter, Using
Supporting Data Consistency in Concurrent
Process Execution With Assurance Points
and Invariants ,
M.S. Thesis, Texas Tech University, Department of Computer Science, Fall 2010. presentation
Shrestha, R., Using
Assurance Points and Integration Rules for Recovery in Service
M.S. Thesis, Texas Tech University, Department of Computer Science, Spring 2010. presentation
Ziao Liu., Decentralized Data Dependency Analysis for Concurrent Process Execution,
M.S. Thesis, Texas Tech University, Department of Computer Science, Fall 2009. presentation
Research Experience for Undergraduates Site Program:Jonathan Rodriquez
* Zev Friedman
* Jamere Veldez Joshua
* Mary E. Shuman