The dramatic increase in the number of mobile subscribers has put a significant resource and service provisioning strain on current cellular networks in particular in terms of mu...
The emerging autonomic computing technology has been hailed by world-wide researchers and professionals in academia and industry. Besides four key capabilities, well known as self-...
Xiaolin Li, Hui Kang, Patrick Harrington, Johnson ...
Autonomic Computing was introduced to reduce the complexity of managing computing systems; however, the heterogeneous nature existing in most computing systems introduces some dif...
To overcome the rising complexity of computing systems, the paradigms of Autonomic Computing and Organic Computing have been introduced. By using an observer/controller architectur...
Abstract. Autonomic computing networks manage multiple tasks over a distributed network of resources. In this paper, we view an autonomic computing system as a network of queues, w...
The overall goal of this research is to improve the `environment awareness' aspect of personal autonomic computing. Personal Computing offers unique challenges for self-manag...
Distributed computing systems are continuously increasing in complexity and cost of managing, and system management tasks require significantly higher levels of autonomic managemen...
The increased complexity of today's distributed, composite, Web-based systems presents difficult and unique systems management problems. The way these systems interact, and th...
Jeffery Li, Patrick Martin, Wendy Powley, Kirk Wil...
Many strategies have been proposed to address the problems associated with managing increasingly complex computing systems. IBM's Autonomic Computing (AC) paradigm is one suc...