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Huzefa Siyamwala

dblp:147/1698 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 56% Storage systems · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
flash and SSD
0.212015
Performance Characterization of Hyperscale Applicationson on NVMe SSDs · SIGMETRICS 2015
Performance modeling and evaluation
workload characterization
0.212015
Performance Characterization of Hyperscale Applicationson on NVMe SSDs · SIGMETRICS 2015
Performance modeling and evaluation
storage performance evaluation
0.112015
Performance Characterization of Hyperscale Applicationson on NVMe SSDs · SIGMETRICS 2015

Methods — techniques the papers use, named apart from their topics

benchmarking · 0.2
YearPublicationVenuePosition
2015 Performance Characterization of Hyperscale Applicationson on NVMe SSDs
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.
Qiumin Xu, Huzefa Siyamwala, Mrinmoy Ghosh, Manu Awasthi, Tameesh Suri, Zvika Guz, Anahita Shayesteh, Vijay Balakrishnan
SIGMETRICS2
2015 Performance analysis of NVMe SSDs and their implication on real world databases
abstract
The storage subsystem has undergone tremendous innovation in order to keep up with the ever-increasing demand for throughput. Non Volatile Memory Express (NVMe) based solid state devices are the latest development in this domain, delivering unprecedented performance in terms of latency and peak bandwidth. NVMe drives are expected to be particularly beneficial for I/O intensive applications, with databases being one of the prominent use-cases.
Qiumin Xu, Huzefa Siyamwala, Mrinmoy Ghosh, Tameesh Suri, Manu Awasthi, Zvika Guz, Anahita Shayesteh, Vijay Balakrishnan
SYSTOR2