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dc.contributor.authorUllah, Amjaden_UK
dc.contributor.authorLi, Jingpengen_UK
dc.contributor.authorHussain, Amiren_UK
dc.contributor.authorYang, Erfuen_UK
dc.description.abstractCloud elasticity augments applications to dynamically adapt to changes in demand by acquiring or releasing computational resources on the fly. Recently, we developed a framework for cloud elasticity utilizing multiple feedback controllers simultaneously, wherein, each controller determines the scaling action with different intensity, and the selection of an appropriate controller is realized with a fuzzy inference system. In this paper, we aim to identify the similarities between cloud elasticity and action selection mechanism in the animal brain. We treat each controller in our previous framework as an action, and propose a novel bioinspired, soft switching approach. The proposed methodology integrates a basal ganglia computational model as an action selection mechanism. Initial experimental results demonstrate the improved potential of the basal ganglia-based approach by enhancing the overall system performance and stability.en_UK
dc.relationUllah A, Li J, Hussain A & Yang E (2016) Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning. Cognitive Computation, 8 (5), pp. 992-1005.
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Publisher policy allows this work to be made available in this repository; Published in Cognitive Computation, October 2016, Volume 8, Issue 5, pp 992–1005. The original publication is available at Springer via
dc.subjectCloud elasticityen_UK
dc.subjectDynamic resource provisioningen_UK
dc.subjectFuzzy logicen_UK
dc.subjectBasal gangliaen_UK
dc.subjectSoft switchingen_UK
dc.subjectElastic feedback controlleren_UK
dc.titleTowards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioningen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[au_bg.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.citation.jtitleCognitive Computationen_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Strathclydeen_UK
dc.relation.funderprojectDual Process Control Models in the Brain and Machines with Application to Autonomous Vehicle Controlen_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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