DocumentCode
1926573
Title
A Multi Level Approach to Autonomic Business Process
Author
Oliveira, Karolyne ; Castro, Jaelson ; Santos, Emanuel ; Fidalgo, Robson ; España, Sergio ; Pastor, Oscar
Author_Institution
Centro de Inf., Univ. Fed. de Pernambuco, Recife, Brazil
fYear
2012
fDate
23-28 Sept. 2012
Firstpage
91
Lastpage
100
Abstract
As a result of new business demands and technological advances processes are becoming increasingly complex and heterogeneous. This calls for business processes that must be managed in an autonomic manner in response to changes in its environmental context. However, a key challenge is to provide variability, understandability and scalability in modeling increasingly complex business processes. In our work we rely on explicit representation of environment variability through context-awareness and quality attributes in order to properly represent autonomic features in Business Process Models. We outline a process that helps to define the modularity of the Business Process Models, indicating where the system needs to be instrumented. A meta-model with the concepts used is presented. This novel approach provides four well-defined levels of abstraction: Communicational Level, Technological Level, Operational Level and Service Level. A real example is used to illustrate our proposal.
Keywords
business data processing; fault tolerant computing; ubiquitous computing; autonomic business process model; communicational level; complex business process modelling; context-awareness; environment variability explicit representation; meta-model; multilevel approach; operational level; quality attributes; scalability; service level; technological level; understandability; Adaptation models; Analytical models; Business; Computational modeling; Context; Instruments; Monitoring; Autonomic Computing; Business Process Modeling; Communication Analysis; Context-awareness; Self-Adaptation; Self-awareness;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (SBES), 2012 26th Brazilian Symposium on
Conference_Location
Natal
Print_ISBN
978-1-4673-4472-2
Type
conf
DOI
10.1109/SBES.2012.20
Filename
6337862
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