Extending WS-Policy4MASC language and MiniZnMASC middleware with BMM business motivation

Authors:
Vladimir Tosic;Paul L. Bannerman;Nahid Ebrahimi Nejad;Qinghua Lu
Affiliations:
NICTA and University of New South Wales, Sydney, Australia;NICTA and University of New South Wales, Sydney, Australia;Adept Business Systems, Sydney, Australia;University of New South Wales and NICTA, Sydney, Australia
Venue:
Proceedings of the 8th ACM international conference on Autonomic computing
Year:
2011

Citing 1
Cited 0

Autonomic Business-Driven Dynamic Adaptation of Service-Oriented Systems and the WSPolicy4MASC Support for Such Adaptation

International Journal of Systems and Service-Oriented Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

The WS-Policy4MASC language and MiniZnMASC middleware enabled making IT system self-management decisions that maximize diverse business value metrics (e.g., profit, customer satisfaction). We now introduce their new extensions that use additional information about longer-term business ends (e.g., goals) and means (e.g., strategies), which are the key concepts from the Business Motivation Model (BMM) industrial standard for modeling business intent. Our new solutions enable making adaptation decisions that might not look best in the short-term, but lead to highest longer-term business value. This business view is a major advantage over works by other authors, which focused on maximizing technical metrics (e.g., availability). We evaluated our solutions by prototype implementation and experiments with it.