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Autonomic computing: emerging trends and open problems
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Source ACM SIGSOFT Software Engineering Notes archive
Volume 30 ,  Issue 4  (July 2005) table of contents
SESSION: Workshop on the Design and Evolution of Autonomic Application Software (DEAS 2005) table of contents
Pages: 1 - 7  
Year of Publication: 2005
ISSN:0163-5948
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Authors
Mazeiar Salehie  University of Waterloo, Waterloo, Ontario, Canada
Ladan Tahvildari  University of Waterloo, Waterloo, Ontario, Canada
Publisher
ACM  New York, NY, USA
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ABSTRACT

The increasing heterogeneity, dynamism and interconnectivity in software applications, services and networks led to complex, unmanageable and insecure systems. Coping with such a complexity necessitates to investigate a new paradigm namely Autonomic Computing. Although academic and industry efforts are beginning to proliferate in this research area, there are still a lots of open issues that remain to be solved. This paper proposes a categorization of complexity in I/T systems and presents an overview of autonomic computing research area. The paper also discusses a summary of the major autonomic computing systems that have been already developed both in academia and industry, and finally outlines the underlying research issues and challenges from a practical as well as a theoretical point of view.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Mazeiar Salehie: colleagues
Ladan Tahvildari: colleagues