A comparison of object-oriented languages in software engineering
ACM SIGSOFT Software Engineering Notes
Intelligent agents: are they feasible in Swarm-array computing?
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Achieving intelligent agents and its feasibility in swarm-array computing?
WSEAS Transactions on Computers
Self-management capability requirements with SelfMML & INGENIAS to attain self-organising behaviours
Proceedings of the second international workshop on Self-organizing architectures
Landscape of intelligent cores: an autonomic multi-agent approach for space applications
ACS'09 Proceedings of the 9th WSEAS international conference on Applied computer science
| Hi-index | 0.00 |
Today, IT organizations have encountered growing challenges in the management and maintenance of large scale heterogeneous distributed computing systems because these systems have to be active and available at all hours. Therefore, it is difficult for administrators to manage such systems and handle changes occured at all hours. Moreover, current programming languages, methods, and management tools are inadequate to handle complexity, heterogeneity, scale, dynamism, and uncertainty as the most important challenges in such systems. Therefore, researchers investigate new ideas to address the problems created by IT complexity. One such idea is Autonomic Computing (AC). Autonomic Computing Systems (ACSs) are systems that manage themselves. This paper provides a thorough survey of autonomic computing systems, presenting their definitions, their characteristics and effects on quality factors, their architecture, issues and challenges.