Autonomic computing
- 21 May 2005
- journal article
- Published by Association for Computing Machinery (ACM) in ACM SIGSOFT Software Engineering Notes
- Vol. 30 (4) , 1-7
- https://doi.org/10.1145/1082983.1083082
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.This publication has 10 references indexed in Scilit:
- Evaluation Issues in Autonomic ComputingPublished by Springer Nature ,2004
- An approach to monitor application states for self-managing (autonomic) systemsPublished by Association for Computing Machinery (ACM) ,2003
- Quality-driven software re-engineeringJournal of Systems and Software, 2003
- The vision of autonomic computingComputer, 2003
- The dawning of the autonomic computing eraIBM Systems Journal, 2003
- Dynamic reconfiguration: Basic building blocks for autonomic computing on IBM pSeries serversIBM Systems Journal, 2003
- Enabling autonomic behavior in systems software with hot swappingIBM Systems Journal, 2003
- Security in an autonomic computing environmentIBM Systems Journal, 2003
- Objects and Agents Compared.The Journal of Object Technology, 2002
- On agent-based software engineeringArtificial Intelligence, 2000