Hdl Handle:
http://hdl.handle.net/10034/610776
Title:
Dead-zone logic in autonomic systems
Authors:
Eze, Thaddeus; Anthony, Richard
Abstract:
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.
Affiliation:
University of Chester and University of Greenwich
Citation:
Eze, T., & Anthony, R. (2014). Dead-zone logic in autonomic systems. IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE
Publisher:
IEEE
Publication Date:
Jul-2014
URI:
http://hdl.handle.net/10034/610776
DOI:
10.1109/EAIS.2014.6867462
Additional Links:
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6867462&newsearch=true&queryText=thaddeus%20eze
Type:
Article
Language:
en
Description:
Published in Evolving and adaptive intelligent systems. IEEE Conference 2014. (EAIS 2014)
ISBN:
9781479933488
Appears in Collections:
Computer Science

Full metadata record

DC FieldValue Language
dc.contributor.authorEze, Thaddeusen
dc.contributor.authorAnthony, Richarden
dc.date.accessioned2016-05-25T18:21:44Zen
dc.date.available2016-05-25T18:21:44Zen
dc.date.issued2014-07en
dc.identifier.citationEze, T., & Anthony, R. (2014). Dead-zone logic in autonomic systems. IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEEen
dc.identifier.isbn9781479933488en
dc.identifier.doi10.1109/EAIS.2014.6867462en
dc.identifier.urihttp://hdl.handle.net/10034/610776en
dc.descriptionPublished in Evolving and adaptive intelligent systems. IEEE Conference 2014. (EAIS 2014)en
dc.description.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.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6867462&newsearch=true&queryText=thaddeus%20ezeen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectautonomic techniquesen
dc.subjectdead-zone logicen
dc.subjectautonomic systemen
dc.subjecttrustworthinessen
dc.subjectdatacentreen
dc.subjectstabilityen
dc.subjectdependable systemen
dc.titleDead-zone logic in autonomic systemsen
dc.typeArticleen
dc.contributor.departmentUniversity of Chester and University of Greenwichen
or.grant.openaccessYesen
rioxxterms.funderxen
rioxxterms.identifier.projectxen
rioxxterms.versionAMen
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