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Xin Liu 0017

dblp:76/1820-17 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · unresolved

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

Databases, data management, data science and information retrieval · 2 · 2 first-authorSystems, architecture and hardware · 1 · 1 first-author

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
Storage systems · 63% Memory systems · 37%
Databases, data mining, and information retrieval
1 paper
Indexing and storage engines · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Indexing and storage engines
buffer management
0.212013
Hybrid Storage Management for Database Systems · Proc. VLDB Endow. 2013
Storage systems
flash and SSD
0.212013
Hybrid Storage Management for Database Systems · Proc. VLDB Endow. 2013
Memory systems
cache
0.112009
CLIC: CLient-Informed Caching for Storage Servers · FAST 2009
Memory systems › cache management › storage caching
cost-aware caching
0.012013
Hybrid Storage Management for Database Systems · Proc. VLDB Endow. 2013
Storage systems
storage reliability
0.012013
Hybrid Storage Management for Database Systems · Proc. VLDB Endow. 2013

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

cost-aware replacement · 0.3TPC-C workload · 0.3
YearPublicationVenuePosition
2013 Hybrid Storage Management for Database Systems
abstract
The use of flash-based solid state drives (SSDs) in storage systems is growing. Adding SSDs to a storage system not only raises the question of how to manage the SSDs, but also raises the question of whether current buffer pool algorithms will still work effectively. We are interested in the use of hybrid storage systems, consisting of SSDs and hard disk drives (HDDs), for database management. We present cost-aware replacement algorithms, which are aware of the difference in performance between SSDs and HDDs, for both the DBMS buffer pool and the SSDs. In hybrid storage systems, the physical access pattern to the SSDs depends on the management of the DBMS buffer pool. We studied the impact of buffer pool caching policies on SSD access patterns. Based on these studies, we designed a cost-adjusted caching policy to effectively manage the SSD. We implemented these algorithms in MySQL's InnoDB storage engine and used the TPC-C workload to demonstrate that these cost-aware algorithms outperform previous algorithms.
Xin Liu 0017, Kenneth Salem
Proc. VLDB Endow.1
2009 CLIC: CLient-Informed Caching for Storage Servers
Xin Liu 0017, Ashraf Aboulnaga, Kenneth Salem, Xuhui Li 0002
FAST1