Title :
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
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;
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
DOI :
10.1109/POLICY.2011.29
