Graph-based, Policy-driven Resource Mapping for Precise Allocations on Diverse Computer Networks

dc.contributor.advisorGurkan, Deniz
dc.contributor.committeeMemberSubhlok, Jaspal
dc.contributor.committeeMemberJohnsson, Lennart
dc.contributor.committeeMemberLent, Ricardo
dc.creatorBaxley, Stuart
dc.creator.orcid0000-0002-0283-0388
dc.date.accessioned2023-05-28T17:02:55Z
dc.date.createdAugust 2022
dc.date.issued2022-07-31
dc.date.updated2023-05-28T17:02:56Z
dc.description.abstractDistributed systems encompass a wide variety of compute platforms, serving various computing industries. Shared infrastructure systems, including HPC, cloud, and testbeds, provide remote access to network and compute hardware to facilitate web services, compute jobs, research, and a number of other services. Allocation systems perform the mapping of resources between customer specifications and available hardware. Typically, these allocation systems are tailor-built for a particular system or environment with a focus on mapping compute resource. Our research determined a lack of existing allocation system able to represent any networked system and to consider the network resources at the same priority as compute. This research proposes a flexible, graph-based resource description data structure able to express diversity in network topology and device composition. Given this new structure, we designed and implemented two solvers for finding resource mappings between the request and infrastructure networks. Lastly, we implemented eight allocation policies able to consider both requester and infrastructure provider requirements to select optimal network allocations. The achieved allocation system is evaluated through simulation and we provide detailed discussion of the results.
dc.description.departmentComputer Science, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.citationPortions of this document appear in: Baxley, Stuart, Deniz Gurkan, Hamidreza Validi, and Illya Hicks. "Graph Representation of Computer Network Resources for Precise Allocations." In 2022 International Conference on Computer Communications and Networks (ICCCN), pp. 1-10. IEEE, 2022.
dc.identifier.urihttps://hdl.handle.net/10657/14312
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectDistributed Systems
dc.subjectResource Allocation
dc.subjectResource Mapping
dc.titleGraph-based, Policy-driven Resource Mapping for Precise Allocations on Diverse Computer Networks
dc.type.dcmiText
dc.type.genreThesis
dcterms.accessRightsThe full text of this item is not available at this time because the student has placed this item under an embargo for a period of time. The Libraries are not authorized to provide a copy of this work during the embargo period.
local.embargo.lift2024-08-01
local.embargo.terms2024-08-01
thesis.degree.collegeCollege of Natural Sciences and Mathematics
thesis.degree.departmentComputer Science, Department of
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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