Paper Info
Title
Goal-Oriented Autonomic Process Modeling and Execution for Next Generation Networks
Abstract
The effective modeling, execution and maintenance of business and operations processes, such as those described by the eTOM process framework, is of utmost importance to Telecom organizations, especially those transitioning toward NGN infrastructure. Many Business Process Management Systems, BPMS, available today however are significantly restricted in their support for intuitive and expressive process models, run-time process agility and rapid process adaptation to cope with changing business and operational conditions. This paper discusses a means of mitigating these limitations with a highly expressive goal-oriented process management language, GO-BPMN, and innovative autonomic BPMS called LS/ABPM. Together, GO-BPMN and LS/ABPM offer an intuitive, business-driven path to creating directly executable goal-oriented process models whose structure encodes multiple degrees of freedom through the potential for late decision-making. Executing models can be structurally modified in real-time in response to autonomic feedback from underlying systems they are managing.
Year
DOI
Venue
2008
10.1007/978-3-540-87355-6_4
MACE
Keywords
Field
DocType
rapid process adaptation,run-time process agility,expressive goal-oriented process management,next generation networks,innovative autonomic,business process management systems,expressive process model,executable goal-oriented process model,executing model,operations process,etom process framework,goal-oriented autonomic process modeling,goal orientation,process management,process model,business process management,real time,etom,operant conditioning,next generation network
Artifact-centric business process model,Business process management,Enhanced Telecom Operations Map,Process modeling,Engineering,Business process modeling,Business process discovery,Business Process Model and Notation,Executable,Process management
Conference
Volume
ISSN
Citations 
5276
0302-9743
7
PageRank 
References 
Authors
0.49
5
2
Name
Order
Citations
PageRank
Monique Calisti123123.31
Dominic Greenwood222419.12