Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Editorial: Engineering autonomic systems

Editorial: Engineering autonomic systems Artif Intell Rev (2006) 25:281–284 DOI 10.1007/s10462-007-9030-9 Roy Sterritt · Michael G. Hinchey Published online: 21 September 2007 © Springer Science+Business Media B.V. 2007 1 A very brief history of autonomicity Autonomic Computing arose out of a need for a means to cope with rapidly growing complexity of integrating, managing, and operating computer-based systems as well as a need to reduce the total cost of ownership of today’s systems. Autonomic Computing (AC) as a discipline was proposed by IBM in 2001, with the vision to develop self-managing systems (Ganek and Corbi 2003). As the name implies, the influ- ence for the new paradigm is the human body’s autonomic nervous system, which regulates vital bodily functions such as the control of heart rate, the body’s temperature and blood flow—all without conscious effort. The vision is to create selfware through self-* properties. The initial set of properties, in terms of objectives, were self-configuring, self-healing, self-optimizing and self-protecting, along with attributes of self-awareness,self-monitoring and self-adjusting. This self-* list has grown: self-anticipating, self-critical, self-defining, self-destructing, self-diagnosis, self- governing, self-organized, self-reflecting,and self-simulation, for instance Sterritt (2005) and Sterritt and Hinchey (2005). 2 Papers in this special issue Although the Engineering of Autonomic Systems as http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Editorial: Engineering autonomic systems

Loading next page...
 
/lp/springer-journals/editorial-engineering-autonomic-systems-O8EQq2L27b

References (10)

Publisher
Springer Journals
Copyright
Copyright © 2007 by Springer Science+Business Media B.V.
Subject
Computer Science; Complexity; Computer Science, general ; Artificial Intelligence (incl. Robotics)
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1007/s10462-007-9030-9
Publisher site
See Article on Publisher Site

Abstract

Artif Intell Rev (2006) 25:281–284 DOI 10.1007/s10462-007-9030-9 Roy Sterritt · Michael G. Hinchey Published online: 21 September 2007 © Springer Science+Business Media B.V. 2007 1 A very brief history of autonomicity Autonomic Computing arose out of a need for a means to cope with rapidly growing complexity of integrating, managing, and operating computer-based systems as well as a need to reduce the total cost of ownership of today’s systems. Autonomic Computing (AC) as a discipline was proposed by IBM in 2001, with the vision to develop self-managing systems (Ganek and Corbi 2003). As the name implies, the influ- ence for the new paradigm is the human body’s autonomic nervous system, which regulates vital bodily functions such as the control of heart rate, the body’s temperature and blood flow—all without conscious effort. The vision is to create selfware through self-* properties. The initial set of properties, in terms of objectives, were self-configuring, self-healing, self-optimizing and self-protecting, along with attributes of self-awareness,self-monitoring and self-adjusting. This self-* list has grown: self-anticipating, self-critical, self-defining, self-destructing, self-diagnosis, self- governing, self-organized, self-reflecting,and self-simulation, for instance Sterritt (2005) and Sterritt and Hinchey (2005). 2 Papers in this special issue Although the Engineering of Autonomic Systems as

Journal

Artificial Intelligence ReviewSpringer Journals

Published: Sep 21, 2007

There are no references for this article.