AffiliationUniversity of Chester and University of Greenwich
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AbstractDead-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.
CitationEze, T., & Anthony, R. (2014). Dead-zone logic in autonomic systems. IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE
DescriptionPublished in Evolving and adaptive intelligent systems. IEEE Conference 2014. (EAIS 2014)
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