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Gang Liu 0039

dblp:37/2109-39 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0003-2225-8558ORCID · verified

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

Databases, data management, data science and information retrieval · 2 · 2 first-author · 2 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
2 papers
Memory systems · 100%
Databases, data mining, and information retrieval
2 papers
Transaction processing and concurrency control · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Transaction processing and concurrency control › OLTP
OLTP engine
1.222023
Zen+: a robust NUMA-aware OLTP engine optimized for non-volatile main memory · VLDB J. 2023
Zen: a High-Throughput Log-Free OLTP Engine for Non-Volatile Main Memory · Proc. VLDB Endow. 2021
Memory systems › non-volatile memory
non-volatile main memory
0.712023
Zen+: a robust NUMA-aware OLTP engine optimized for non-volatile main memory · VLDB J. 2023
Memory systems
non-volatile memory
0.512021
Zen: a High-Throughput Log-Free OLTP Engine for Non-Volatile Main Memory · Proc. VLDB Endow. 2021
Memory systems › non-volatile memory
hybrid DRAM-NVM
0.112021
Zen: a High-Throughput Log-Free OLTP Engine for Non-Volatile Main Memory · Proc. VLDB Endow. 2021

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

NUMA-aware optimization · 1.3metadata enhanced tuple cache · 1.0log-free persistent transactions · 1.0
YearPublicationVenuePosition
2023 Zen+: a robust NUMA-aware OLTP engine optimized for non-volatile main memory
Gang Liu 0039, Leying Chen, Shimin Chen
VLDB J.1
2021 Zen: a High-Throughput Log-Free OLTP Engine for Non-Volatile Main Memory
abstract
Emerging Non-Volatile Memory (NVM) technologies like 3DX-point promise significant performance potential for OLTP databases. However, transactional databases need to be redesigned because the key assumptions that non-volatile storage is orders of magnitude slower than DRAM and only supports blocked-oriented access have changed. NVMs are byte-addressable and almost as fast as DRAM. The capacity of NVM is much (4-16x) larger than DRAM. Such NVM characteristics make it possible to build OLTP database entirely in NVM main memory. This paper studies the structure of OLTP engines with hybrid NVM and DRAM memory. We observe three challenges to design an OLTP engine for NVM: tuple metadata modifications, NVM write redundancy, and NVM space management. We propose Zen, a high-throughput log-free OLTP engine for NVM. Zen addresses the three design challenges with three novel techniques: metadata enhanced tuple cache, log-free persistent transactions, and light-weight NVM space management. Experimental results on a real machine equipped with Intel Optane DC Persistent Memory show that Zen achieves up to 10.1x improvement compared with existing solutions to run an OLTP database as large as the size of NVM while achieving fast failure recovery.
Gang Liu 0039, Leying Chen, Shimin Chen
Proc. VLDB Endow.1