CATER: a policy-based data placement framework for edge storage

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dc.contributor.authorKhalid, Ahmeden
dc.contributor.authorAhearne, Seánen
dc.contributor.authorMehta, Hemant Kumaren
dc.contributor.authorRoedig, Utzen
dc.contributor.authorSreenan, Cormac J.en
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2025-07-07T14:38:32Z
dc.date.available2025-07-07T14:38:32Z
dc.date.issued2024-04-15en
dc.description.abstractThe growing heterogeneity and decentralization in the modern computing paradigm of edge-cloud continuum introduces new constraints on storage systems, such as storage type, associated processors, privacy, scarce resources, compliance, GDPR and geographical restrictions. While existing distributed data and object stores can ensure data availability and fault-tolerance, they are not flexible or dynamic enough to address these diverse set of constraints. In this paper, we introduce a modular policy-driven data placement framework, CATER, designed to seamlessly integrate with existing storage systems and overcome the aforementioned limitations. CATER formulates the data placement problem as an optimization model, incorporating data collocation and hardware constraints. We integrated a pro-totype of CATER with Apache Ozone and conducted experiments and simulations. Results show a 23% improvement in data placement while respecting 100 % of the constraints.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKhalid, A., Ahearne, S., Mehta, H.K., Roedig, U. and Sreenan, C.J. (2024) ‘Cater: a policy-based data placement framework for edge storage’, 2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). Dublin, Ireland, 20-22 March, pp. 26–34. https://doi.org/10.1109/PDP62718.2024.00013en
dc.identifier.doi10.1109/PDP62718.2024.00013en
dc.identifier.endpage34en
dc.identifier.isbn979-8-3503-6308-1en
dc.identifier.issn1066-6192en
dc.identifier.startpage26en
dc.identifier.urihttps://hdl.handle.net/10468/17685
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Research Centres Programme::Phase 2/13/RC/2077_P2/IE/CONNECT_Phase 2/en
dc.relation.urihttps://ieeexplore.ieee.org/xpl/conhome/10495317/proceedingen
dc.rights© 2024, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectData placementen
dc.subjectDistributed storage systemen
dc.subjectApache Ozoneen
dc.subjectGDPRen
dc.subjectEdge computingen
dc.titleCATER: a policy-based data placement framework for edge storageen
dc.typeConference itemen
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