The Vision of Autonomic Computing
Computer
MiniZinc: towards a standard CP modelling language
CP'07 Proceedings of the 13th international conference on Principles and practice of constraint programming
MiniMASC: A Framework for Diverse Autonomic Adaptations of Web Service Compositions
UIC-ATC '10 Proceedings of the 2010 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
An architectural style for process-intensive web information systems
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
International Journal of Systems and Service-Oriented Engineering
Hi-index | 0.00 |
Software runtime adaptability is one of the desired quality attributes in modern business process systems. It helps satisfy a variety of users' needs and accommodate diverse business and technical changes, both in the running software and its operating environment. In this paper, we present and demonstrate the application of our adaptation middleware MiniMASC+MiniZinc to business processes designed and implemented using the REpresentational State Transfer (REST) architectural style. We extended MiniMASC+MiniZinc with new autonomic business-driven decision making algorithms to determine which process fragment to execute in a decision point of a RESTful business process. Our new decision making algorithms enable different adaptation decisions for different classes of consumer at runtime depending on business strategies, in a way that achieves maximum overall business value while satisfying all given constraints. We demonstrate the new decision making algorithms in a LIXI (Lending Industry XML Initiative)-compliant loan application process system that was implemented using the REST principles.