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dc.contributor.advisorYu, Weihai
dc.contributor.authorIvanov, Andrei
dc.date.accessioned2024-06-19T06:19:54Z
dc.date.available2024-06-19T06:19:54Z
dc.date.issued2024-05-12en
dc.description.abstractFor peer-to-peer collaborative editing systems utilizing the Conflict-free Replicated Data Type memory consumption can become a significant issue, particularly when handling large files with extensive editing histories. It can lead to performance problems and hinder user productivity, especially in environments with limited resources. This thesis addresses the problem of excessive memory usage and proposes a novel solution to mitigate this issue by applying partial persistence to CRDT data structure. Through a series of experiments and evaluations, the effectiveness of the proposed approach is demonstrated. This research contributes to the advancement of memory-efficient collaborative systems, offering potential benefits for users working with large documents in resource-constrained environments.en_US
dc.identifier.urihttps://hdl.handle.net/10037/33830
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universitetno
dc.publisherUiT The Arctic University of Norwayen
dc.rights.holderCopyright 2024 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDINF-3990
dc.titleReducing Memory Overhead in CRDT for Collaborative Editingen_US
dc.typeMastergradsoppgaveno
dc.typeMaster thesisen


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)