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Developing teleo-reactive autonomic solutions

Developing teleo-reactive autonomic solutions

Hawthorne, James and Anthony, Richard (2010) Developing teleo-reactive autonomic solutions. International Journal of Computer & Information Science, 11 (3). pp. 26-34. ISSN 1525-9293

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Abstract

The increasing size and complexity of modern software and the difficulty for humans to maintain these systems has meant there is a demand for software to manage themselves, thereby reducing the need for human intervention. Autonomic systems can have many self-management characteristics in order to solve issues which would normally require a human to manage, maintain or correct. These characteristics include the ability to heal, configure, optimize and protect themselves. We have taken the Teleo-Reactive (T-R) technique, developed for control of autonomous agents, and designed a framework around T-R to support development of much higher level software. We argue that a T-R approach is a simpler method of developing autonomic systems than many other techniques. Although T-R systems are relatively easy to understand and can produce small and compact code structures, the design process can be difficult. In this paper we highlight the problems and develop some strategies for designing T-R programs.

Item Type: Article
Uncontrolled Keywords: software paradigm, autonomics, software strategy, methodology
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5542

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