Bellek Tabanli Verı Platformların Karşılaştırması

dc.contributor.advisorDağ, Hasan
dc.contributor.authorAkbari, Amirmahdi
dc.date.accessioned2023-10-17T20:46:20Z
dc.date.available2023-10-17T20:46:20Z
dc.date.issued2016
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Bilgi Teknolojileri Ana Bilim Dalıen_US
dc.descriptionBu tezin, veri tabanı üzerinden yayınlanma izni bulunmamaktadır.Yayınlanma izni olmayan tezlerin basılı kopyalarına üniversite kütüphaneniz aracılığı ile (TÜBESS üzerinden) erişebilirsiniz.en_US
dc.description.abstractBellek tabanli verı platformların karşılaştırmasıen_US
dc.description.abstractUnstoppable growth of data has prompted us to process and analyze big data as quick as possible. one of this approaches is using RAM (Random Access Memory) as the main data processing device instead of traditional disks. Major focus on this thesis would be comparing two well-known platforms (Hazelcast 3.0 and Infinispan 6.0) respectively by their Get throughput or "Read", Put throughput or "Write" performance and efficiency of resources usage such as CPU and main memory to determine a general understanding of what are the elements or conditions to choose between in-memory platforms.en_US
dc.identifier.endpage88en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/4478
dc.identifier.yoktezid620785en_US
dc.institutionauthorAkbari, Amirmahdi
dc.institutionauthorDağ, Hasan
dc.khas20231017-Tezrn_US
dc.language.isoenen_US
dc.publisherKadir Has Üniversitesien_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrolen_US
dc.subjectComputer Engineering and Computer Science and Control ; Bilim ve Teknolojien_US
dc.titleBellek Tabanli Verı Platformların Karşılaştırmasıen_US
dc.title.alternativeComparison of In-Memory Data Platformsen_US
dc.typeMaster Thesisen_US
dspace.entity.typePublication
relation.isAuthorOfPublicatione02bc683-b72e-4da4-a5db-ddebeb21e8e7
relation.isAuthorOfPublication.latestForDiscoverye02bc683-b72e-4da4-a5db-ddebeb21e8e7

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