Using MiniZnMASC Middleware with Different Algorithms for Business-Driven Adaptation of Business Processes

Author

Lu, Qinghua ; Tosic, Vladimir

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia

fYear

2011

fDate

6-8 June 2011

Firstpage

188

Lastpage

190

Abstract

Runtime adaptation of business processes and their IT system implementations to changes can usually be done in several ways. MiniZnMASC middleware makes adaptation decisions that maximize business value while satisfying all given constraints. All necessary information about alternative adaptations and their business metrics are specified as policies in WS-Policy4MASC. Using an example loan application business process, we demonstrate how MiniZnMASC supports 4 different autonomic business-driven decision making algorithms for adaptation.

Keywords

decision making; financial data processing; middleware; software fault tolerance; IT system implementations; MiniZnMASC middleware; WS-Policy4MASC; autonomic business-driven decision making algorithms; business metrics; business value maximization; business-driven adaptation; loan application business process; runtime adaptation; Adaptation models; Algorithm design and analysis; Decision making; Measurement; Web services; REST; autonomic computing; business process management; business-driven IT management; constraint programming; decision making; dynamic adaptation;

fLanguage

English

Publisher

ieee

Conference_Titel

Policies for Distributed Systems and Networks (POLICY), 2011 IEEE International Symposium on

Conference_Location

Pisa

Print_ISBN

978-1-4244-9879-6

Electronic_ISBN

978-0-7695-4330-7

Type

conf

DOI

10.1109/POLICY.2011.29

Filename

5976826