| dc.contributor.advisor | Dağ, Hasan | |
| dc.contributor.author | Akbari, Amirmahdi | |
| dc.date.accessioned | 2023-10-17T20:46:20Z | |
| dc.date.available | 2023-10-17T20:46:20Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/4478 | |
| dc.description | Bu tezin, veri tabanı üzerinden yayınlanma izni bulunmamaktadır.Yayınlanma izni olmayan tezlerin basılı kopyalarına üniversite kütüphaneniz aracılığı ile (TÜBESS üzerinden) erişebilirsiniz. | en_US |
| dc.description.abstract | Bellek tabanli verı platformların karşılaştırması | en_US |
| dc.description.abstract | Unstoppable 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.language.iso | eng | en_US |
| dc.publisher | Kadir Has Üniversitesi | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol | en_US |
| dc.subject | Computer Engineering and Computer Science and Control ; Bilim ve Teknoloji | en_US |
| dc.title | Bellek tabanli verı platformların karşılaştırması | en_US |
| dc.title.alternative | Comparison of In-Memory data platforms | en_US |
| dc.type | masterThesis | en_US |
| dc.identifier.startpage | 1 | en_US |
| dc.identifier.endpage | 88 | en_US |
| dc.department | Enstitüler, Lisansüstü Eğitim Enstitüsü, Bilgi Teknolojileri Ana Bilim Dalı | en_US |
| dc.institutionauthor | Akbari, Amirmahdi | |
| dc.relation.publicationcategory | Tez | en_US |
| dc.identifier.yoktezid | 620785 | en_US |
| dc.khas | 20231017-Tez | rn_US |
