DocumentCode :
2703056
Title :
Defining autonomic computing: a software engineering perspective
Author :
Lin, Paul ; MacArthur, Alexander ; Leaney, John
Author_Institution :
Univ. of Technol., Sydney, NSW, Australia
fYear :
2005
fDate :
29 March-1 April 2005
Firstpage :
88
Lastpage :
97
Abstract :
As a rapidly growing field, autonomic computing is a promising new approach for developing large scale distributed systems. However, while the vision of achieving self-management in computing systems is well established, the field still lacks a commonly accepted definition of ´what´ an autonomic computing system is. Without a common definition to dictate the direction of development, it is not possible to know whether a system or technology is a part of autonomic computing, or if in fact an autonomic computing system has already been built. The purpose of this paper is to establish a standardised and quantitative definition of autonomic computing through the application of the quality metrics framework described in IEEE Std 1061-1998. Through the application of this methodology, stakeholders were systematically analysed and evaluated to obtain a balanced and structured definition of autonomic computing. This definition allows for further development and implementation of quality metrics, which are project-specific, quantitative measurements that can be used to validate the success of future autonomic computing projects.
Keywords :
IEEE standards; software metrics; software quality; IEEE standard; autonomic computing system; large scale distributed system; quality metrics framework; software engineering; Computer applications; Computer vision; Costs; Distributed computing; Humans; Large-scale systems; Moore´s Law; Software engineering; Technological innovation; Transistors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Conference, 2005. Proceedings. 2005 Australian
ISSN :
1530-0803
Print_ISBN :
0-7695-2257-2
Type :
conf
DOI :
10.1109/ASWEC.2005.19
Filename :
1402004
Link To Document :
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