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dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.authorAly, Alhassan
dc.contributor.authorJuan, Angel A.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2021-05-06T08:38:17Z
dc.date.issued2021
dc.identifier.citationXhafa, F.; Aly, A.; Juan, A. Optimization of task allocations in Cloud to Fog environment with application to Intelligent Transportation Systems. A: IEEE International Conference on Advanced Information Networking and Applications. "35th AINA 2021 Advanced Information Networking and Applications". 2021, p. 1-12. ISBN 978-3-030-75099-2. DOI 10.1007/978-3-030-75100-5_1.
dc.identifier.isbn978-3-030-75099-2
dc.identifier.urihttp://hdl.handle.net/2117/345202
dc.description.abstractFog and Edge computing are opening up new opportunities to implement novel features of mobility, edge intelligence and end-user support. The successful implementation and deployment of Fog layers, as part of Cloud-to-thing-computing, largely depends on optimized allocation of tasks and applications to Fog and Edge nodes. Similarly as in other large scale distributed systems, the optimization problems that arise are computationally hard to solve. Such problems become even more challenging due to the need of application scenarios for larger computing capacity, beyond those of single nodes, requiring thus efficient resource grouping. In this paper we present some clustering techniques for creating virtual computing nodes from Fog/Edge nodes by combining semantic description of resources with semantic clustering techniques. Then, we use such clusters for optimal allocation (via heuristics and Integer Linear Programming) of applications to virtual computing nodes. Simulation results are reported to support the feasibility of the model and efficacy of the proposed approach. Applications of allocation methods to Intelligent Transportation Systems are also discussed
dc.format.extent12 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Internet
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshCloud computing
dc.subject.lcshIntelligent transportation systems
dc.titleOptimization of task allocations in Cloud to Fog environment with application to Intelligent Transportation Systems
dc.typeConference report
dc.subject.lemacComputació en núvol
dc.subject.lemacSistemes de transport intel·ligent
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.identifier.doi10.1007/978-3-030-75100-5_1
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-75100-5_1
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac31253201
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/1PE/ PID2019-111100RB-C21
dc.date.lift10000-01-01
local.citation.authorXhafa, F.; Aly, A.; Juan, A.
local.citation.contributorIEEE International Conference on Advanced Information Networking and Applications
local.citation.publicationName35th AINA 2021 Advanced Information Networking and Applications
local.citation.startingPage1
local.citation.endingPage12


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