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Author Siyamwala, Huzefa ♦ Suri, Tameesh ♦ Xu, Qiumin ♦ Awasthi, Manu ♦ Guz, Zvika ♦ Ghosh, Mrinmoy ♦ Balakrishnan, Vijay ♦ Shayesteh, Anahita
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Performance characterization ♦ Nvme ♦ Nosql databases ♦ Ssds ♦ Hyperscale applications
Abstract The storage subsystem has undergone tremendous innovation in order to keep up with the ever-increasing demand for throughput. NVMe based SSDs are the latest development in this domain, delivering unprecedented performance in terms of both latency and peak bandwidth. Given their superior performance, NVMe drives are expected to be particularly beneficial for I/O intensive applications in datacenter installations. In this paper we identify and analyze the different factors leading to the better performance of NVMe SSDs. Then, using databases as the prominent use-case, we show how these would translate into real-world benefits. We evaluate both a relational database (MySQL) and a NoSQL database (Cassandra) and demonstrate significant performance gains over best-in-class enterprise SATA SSDs: from 3.5x for TPC-C and up to 8.5x for Cassandra.
Description Affiliation: University of Southern California, Los Angeles, CA, USA (Xu, Qiumin) || Samsung Semiconductor Inc, Milpitas, CA, USA (Ghosh, Mrinmoy; Awasthi, Manu; Suri, Tameesh; Guz, Zvika; Shayesteh, Anahita; Balakrishnan, Vijay) || San Jose State University, San Jose, CA, USA (Siyamwala, Huzefa)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-01-10
Publisher Place New York
Journal ACM SIGMETRICS Performance Evaluation Review (PERV)
Volume Number 43
Issue Number 1
Page Count 2
Starting Page 473
Ending Page 474

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Source: ACM Digital Library