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Model-Based Self-Managing Systems Engineering

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Taleb-Bendiab, A, Bustard, DW, Sterritt, Roy, Laws, AG and Keenan, F (2005) Model-Based Self-Managing Systems Engineering. In: Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on . IEEE. 5 pp. [Conference contribution]

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DOI: 10.1109/DEXA.2005.137

Abstract

For many years, the vision of smart computing where systems can function and/or manage themselves independently from human intervention has provided numerous theoretical challenges to research communities ranging from intelligent systems and cybernetics to AI communities. These research trends have now been further fuelled by the IBM autonomic computing initiative, where biologically inspired concepts inform the development of systems that can adapt autonomously to their users' requirements and environments. This paper considers the extent to which well-established general systems concepts might be valuable in the design of autonomic systems. The main two approaches considered are Checkland's Soft Systems Methodology (SSM) and Beer's Viable Systems Model (VSM). The paper summarizes the relevant aspects of each approach and demonstrates their potential through the provision of an illustrative case study. Moreover, the paper illustrates how SSM and VSM approaches facilitate autonomic systems engineering by the capture of functional and non-functional application requirements such as lifetime self-management policies and operational tolerances

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Smart Environments
ID Code:21181
Deposited By:Mr Roy Sterritt
Deposited On:06 Mar 2012 11:01
Last Modified:06 Mar 2012 11:01

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