Dead-zone logic in autonomic systems

Published in Evolving and adaptive intelligent systems. IEEE Conference 2014. (EAIS 2014)Dead-Zone logic is a mechanism to prevent autonomic managers from unnecessary, inefficient and ineffective control brevity when the system is sufficiently close to its target state. It provides a natural and powerful framework for achieving dependable self-management in autonomic systems by enabling autonomic managers to smartly carry out a change (or adapt) only when it is safe and efficient to do so-within a particular (defined) safety margin. This paper explores and evaluates the performance impact of dead-zone logic in trustworthy autonomic computing. Using two case example scenarios, we present empirical analyses that demonstrate the effectiveness of dead-zone logic in achieving stability, dependability and trustworthiness in adaptive systems. Dynamic temperature target tracking and autonomic datacentre resource request and allocation management scenarios are used. Results show that dead-zone logic can significantly enhance the trustability of autonomic systems

Green Computing - Desktop Computer Power Management at the City of Tulsa

One type of Green Computing focuses on reducing power consumption of computers. Specialized software like 1E/Nightwatchman aids in reducing the power consumption of desktop computers by placing them in a low power state when not in use. This thesis describes the implementation of 1E/Nightwatchman power management software on two thousand desktop computers at the City of Tulsa. It shows the method used to predict power savings of 100,000.00 per year and compares the prediction to the actual savings after one year of operation.Computer Scienc