Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

In Hwan Doh

dblp:51/6250 · DBLP profile ↗
← Back
5ranked-venue papers
3as first author
1since 2021 · last 2021
—ORCID · none

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

Systems, architecture and hardware · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 2 first-authorComputer networks · 1 · 1 since 2021

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
Storage systems · 81% Hardware accelerators and domain-specific architectures · 19%

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

TopicWeightPapersLastEvidence papers
Storage systems › distributed storage
disaggregated storage
0.512021
Gimbal: enabling multi-tenant storage disaggregation on SmartNIC JBOFs · SIGCOMM 2021
Storage systems › flash and SSD
NVMe storage
0.112021
Gimbal: enabling multi-tenant storage disaggregation on SmartNIC JBOFs · SIGCOMM 2021
Hardware accelerators and domain-specific architectures › network accelerator
SmartNIC
0.112021
Gimbal: enabling multi-tenant storage disaggregation on SmartNIC JBOFs · SIGCOMM 2021
YearPublicationVenuePosition
2021 Gimbal: enabling multi-tenant storage disaggregation on SmartNIC JBOFs
abstract
Emerging SmartNIC-based disaggregated NVMe storage has become a promising storage infrastructure due to its competitive IO performance and low cost. These SmartNIC JBOFs are shared among multiple co-resident applications, and there is a need for the platform to ensure fairness, QoS, and high utilization. Unfortunately, given the limited computing capability of the SmartNICs and the non-deterministic nature of NVMe drives, it is challenging to provide such support on today's SmartNIC JBOFs.
Jaehong Min, Ming Liu 0027, Tapan Chugh, Chenxingyu Zhao, Andrew Wei, In Hwan Doh, Arvind Krishnamurthy
SIGCOMM6
2018 When Address Remapping Techniques Meet Consistency Guarantee Mechanisms
Gi-Hwan Oh, Dongki Kim, In Hwan Doh, Changwoo Min, Sang-Won Lee 0001, Young Ik Eom
HotStorage4
2013 Towards greener data centers with storage class memory
In Hwan Doh, Eunsam Kim, Jongmoo Choi, Donghee Lee 0001, Sam H. Noh
Future Gener. Comput. Syst.1
2011 An Empirical Study of Deploying Storage Class Memory into the I/O Path of Portable Systems
abstract
We explore the possibility of deploying storage class memory (SCM) into the I/O path as a file system metadata store and examine what effects it has on the performance of portable computing systems. In this regard, we develop a new flash memory-based file system that stores all metadata in SCM, while storing all file data in flash memory. In so doing, we make two contributions in this work. First, we present a model that analyzes the amount of SCM that is needed for specific flash memory storage capacity. Second, we present quantitative experimental results that show how much performance gains are possible by exploiting SCM in terms of I/O performance, energy efficiency and lifetime of the underlying flash memory. Compared to YAFFS, a popular flash memory-based file system, we show that system performance is improved by a maximum of around 320, 260, and 180% in terms of I/O performance, energy efficiency and lifetime of the Flash memory, respectively, for the realistic workloads that we considered.
In Hwan Doh, Jongmoo Choi, Donghee Lee 0001, Sam H. Noh
Comput. J.1
2007 Exploiting non-volatile RAM to enhance flash file system performance
abstract
Non-volatile RAM (NVRAM) such as PRAM (Phase-change RAM), FeRAM (Ferroelectric RAM), and MRAM (Magnetoresistive RAM) has characteristics of both non-volatile storage and random access memory (RAM). These forms of NVRAM are currently being developed by major semiconductor companies and are expected to be an everyday component in the near future. The advent of NVRAM may possibly bring about drastic changes to the system software landscape. In this work, we develop a new Flash memory based file system that exploits NVRAM in order to improve system performance. Specifically, we discuss the initial design and implementation of a file system that stores all metadata in NVRAM, while storing all file data in Flash memory. In so doing, we make two contributions in this work. First, we present a model that analyzes the amount of NVRAM that is needed for specific Flash memory storage capacity. Experimentally, we verify that this model represents the exact NVRAM usage in the realistic environment. Second, we present quantitative experimental results that show how much performance gains are possible by exploiting NVRAM. Compared to YAFFS, a popular Flash memory based file system, we show that this file system requires only minimal time for mounting and that the execution time improves by a maximum of 600% and an average of 437% for the realistic workloads that we considered.
In Hwan Doh, Jongmoo Choi, Donghee Lee 0001, Sam H. Noh
EMSOFT1