A new SOA data-provenance framework

Wei Tek Tsai, Xiao Wei, Dawei Zhang, Ray Paul, Yinong Chen, Jen Yao Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

Due to the dynamic nature, such as runtime composition and evaluation, it is critical for an SOA system to consider its data provenance, which concerns security, reliability, and integrity of data as it is routed in the system. In a traditional software system, one can focus on the software itself to determine the security, reliability, and integrity; however, in an SOA system, one also needs to consider the origins and routes of data and their impact, i.e., data provenance. This paper first analyzes the unique natures and characteristics of data provenance in an SOA system. Then it proposes a new framework to classify data provenance and collect data in SOA systems. Finally, this paper uses an example to illustrate these concepts and techniques.

Original languageEnglish (US)
Title of host publicationProceedings - Eighth International Symposium on Autonomous Decentralized Systems, ISADS 2007
Pages105-112
Number of pages8
DOIs
StatePublished - Aug 6 2007
Event8th International Symposium on Autonomous Decentralized Systems, ISADS 2007 - Sedona, AZ, United States
Duration: Mar 21 2007Mar 23 2007

Publication series

NameProceedings - Eighth International Symposium on Autonomous Decentralized Systems, ISADS 2007

Other

Other8th International Symposium on Autonomous Decentralized Systems, ISADS 2007
Country/TerritoryUnited States
CitySedona, AZ
Period3/21/073/23/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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