Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27315
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dc.contributor.authorUllah, Amjaden_UK
dc.contributor.authorLi, Jingpengen_UK
dc.contributor.authorShen, Yingdongen_UK
dc.contributor.authorHussain, Amiren_UK
dc.date.accessioned2018-05-31T17:13:17Z-
dc.date.available2018-05-31T17:13:17Z-
dc.date.issued2018-12en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27315-
dc.description.abstractThe lucrative features of cloud computing such as pay-as-you-go pricing model and dynamic resource provisioning (elasticity) attract clients to host their applications over the cloud to save up-front capital expenditure and to reduce the operational cost of the system. However, the efficient management of hired computational resources is a challenging task. Over the last decade, researchers and practitioners made use of various techniques to propose new methods to address cloud elasticity. Amongst many such techniques, control theory emerges as one of the popular methods to implement elasticity. A plethora of research has been undertaken on cloud elasticity including several review papers that summarise various aspects of elasticity. However, the scope of the existing review articles is broad and focused mostly on the high-level view of the overall research works rather than on the specific details of a particular implementation technique. While considering the importance, suitability and abundance of control theoretical approaches, this paper is a step forward towards a stand-alone review of control theoretic aspects of cloud elasticity. This paper provides a detailed taxonomy comprising of relevant attributes defining the following two perspectives, i.e., control-theory as an implementation technique as well as cloud elasticity as a target application domain. We carry out an exhaustive review of the literature by classifying the existing elasticity solutions using the attributes of control theoretic perspective. The summarized results are further presented by clustering them with respect to the type of control solutions, thus helping in comparison of the related control solutions. In last, a discussion summarizing the pros and cons of each type of control solutions are presented. This discussion is followed by the detail description of various open research challenges in the field.en_UK
dc.language.isoenen_UK
dc.publisherBMCen_UK
dc.relationUllah A, Li J, Shen Y & Hussain A (2018) A control theoretical view of cloud elasticity: taxonomy, survey and challenges. Cluster Computing, 21 (4), pp. 1735-1764. https://doi.org/10.1007/s10586-018-2807-6en_UK
dc.rights© The Author(s) 2018 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectCloud elasticityen_UK
dc.subjectElastic feedback controllersen_UK
dc.subjectControl theoryen_UK
dc.subjectDynamic cloud resource provisioningen_UK
dc.subjectCloud resource managementen_UK
dc.titleA control theoretical view of cloud elasticity: taxonomy, survey and challengesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1007/s10586-018-2807-6en_UK
dc.citation.jtitleCluster Computingen_UK
dc.citation.issn1573-7543en_UK
dc.citation.issn1386-7857en_UK
dc.citation.volume21en_UK
dc.citation.issue4en_UK
dc.citation.spage1735en_UK
dc.citation.epage1764en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.date07/05/2018en_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationHuazhong University of Science and Technologyen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000457276800001en_UK
dc.identifier.scopusid2-s2.0-85046548150en_UK
dc.identifier.wtid913412en_UK
dc.contributor.orcid0000-0002-6758-0084en_UK
dc.contributor.orcid0000-0002-8080-082Xen_UK
dc.date.accepted2018-04-26en_UK
dcterms.dateAccepted2018-04-26en_UK
dc.date.filedepositdate2018-05-31en_UK
rioxxterms.apcfully waiveden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorUllah, Amjad|en_UK
local.rioxx.authorLi, Jingpeng|0000-0002-6758-0084en_UK
local.rioxx.authorShen, Yingdong|en_UK
local.rioxx.authorHussain, Amir|0000-0002-8080-082Xen_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2018-05-31en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2018-05-31|en_UK
local.rioxx.filenameUllah2018_Article_AControlTheoreticalViewOfCloud.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1386-7857en_UK
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