NDLI: Model-Based Self-Managing Systems Engineering

Content Provider	IEEE Xplore Digital Library
Author	Taleb-Bendiab, A. Bustard, D.W. Sterritt, R. Laws, A.G. Keenan, F.
Copyright Year	2005
Description	Author affiliation: Sch. of Comput., Liverpool John Moores Univ. (Taleb-Bendiab, A.)
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
Starting Page	155
Ending Page	159
File Size	213230
Page Count	5
File Format	PDF
ISBN	0769524249
ISSN	15294188
DOI	10.1109/DEXA.2005.137
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-22
Publisher Place	Denmark
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Systems engineering and theory Humans Application software Computer vision Biology computing Cybernetics Robustness Software engineering Dynamic programming Technology management
Content Type	Text
Resource Type	Article

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