Heterogeneous resource management and orchestration in cloud environments

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dc.contributor.authorDong, Dapeng
dc.contributor.authorXiong, Huanhuan
dc.contributor.authorGonzález-Castañé, Gabriel
dc.contributor.authorStack, Paul
dc.contributor.authorMorrison, John P.
dc.contributor.funderHorizon 2020en
dc.date.accessioned2018-08-17T11:40:22Z
dc.date.available2018-08-17T11:40:22Z
dc.date.issued2018-07-14
dc.date.updated2018-08-17T10:57:44Z
dc.description.abstractThe addition of heterogeneous resources to conventional homogeneous cloud environments has enabled clouds to embrace a wide variety of new applications that heretofore were traditionally confined to specialized computing environments. The enhanced and extended features offered by heterogeneous resources enable service offerings that pose challenges to traditional cloud management throughout the entire service delivery stack. The accelerated uptake of heterogeneous resources is exacerbating these challenges, which no longer can be efficiently addressed in an ad-hoc manner. Therefore, an integrated approach to heterogeneous resource management that is cognizant of the unique advantages of different hardware types is needed. In this paper, two candidate approaches, a platform-integration scheme and a server-integration scheme, are introduced to address this management challenge. The platform-integration scheme integrates and coordinates the management of various coexisting resource managers and associated environments each of which may be managing resources of different types using the most appropriate resource abstraction method. In contrast, the server-integration scheme provides a single, lower level, fine-grained management mechanism across all hardware resource types. Ultimately, the goal of each schemes is to provide a unified view of resources from a capability perspective to consumers.en
dc.description.statusPeer revieweden
dc.description.urihttp://closer.scitevents.org/?y=2017en
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationDong, D., Xiong, H., Castañé, G. G., Stack, P. and Morrison, J. P. (2018) 'Heterogeneous resource management and orchestration in cloud environments', in Ferguson D., Muñoz V., Cardoso J., Helfert M., Pahl C. (eds.) Cloud Computing and Service Science: 7th International Conference, CLOSER 2017, Porto, Portugal, April 24–26, 2017. Communications in Computer and Information Science, vol 864. Cham: Springer International Publishing, pp. 61-80. doi:10.1007/978-3-319-94959-8_4en
dc.identifier.doi10.1007/978-3-319-94959-8_4
dc.identifier.endpage80en
dc.identifier.isbn978-3-319-94958-1
dc.identifier.isbn978-3-319-94959-8
dc.identifier.journaltitleCommunications in Computer and Information Scienceen
dc.identifier.startpage61en
dc.identifier.urihttps://hdl.handle.net/10468/6621
dc.identifier.volume864en
dc.language.isoenen
dc.publisherSpringer International Publishing AGen
dc.relation.ispartofCLOSER 2017 : 7th International Conference on Cloud Computing and Services Science
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/643946/EU/Self-Organising, Self-Managing Heterogeneous Cloud/CloudLightningen
dc.rights© 2018, Springer International Publishing AG, part of Springer Nature. The final authenticated version is available online at https://doi.org/10.1007/978-3-319-94959-8_4en
dc.subjectArchitectureen
dc.subjectHeterogeneous resourceen
dc.subjectPlatform integrationen
dc.subjectClouden
dc.subjectHPCen
dc.titleHeterogeneous resource management and orchestration in cloud environmentsen
dc.typeConference itemen
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