A New SOA Data-Provenance Framework

Author

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

Author_Institution

Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ

fYear

2007

fDate

21-23 March 2007

Firstpage

105

Lastpage

112

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

Keywords

data integrity; pattern classification; security of data; software architecture; data integrity; data provenance classification; data reliability; data security; service-oriented architecture; Access control; Computer science; Data security; Geographic Information Systems; Reliability engineering; Runtime; Semiconductor optical amplifiers; Service oriented architecture; Software systems; Standards publication;

fLanguage

English

Publisher

ieee

Conference_Titel

Autonomous Decentralized Systems, 2007. ISADS '07. Eighth International Symposium on

Conference_Location

Sedona, AZ

Print_ISBN

0-7695-2804-X

Type

conf

DOI

10.1109/ISADS.2007.5

Filename

4144660