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
Demo Data from EDBT 2026 / reviewers in the wild / expert

Jang Ho Park

dblp:60/3155 · DBLP profile ↗
← Back
3ranked-venue papers
2as first author
0since 2021 · last 1999
0000-0002-3860-9693ORCID · corroborated

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

Databases, data management, data science and information retrieval · 3 · 2 first-authorArtificial intelligence and machine learning · 2 · 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.

Databases, data mining, and information retrieval
1 paper
Indexing and storage engines · 44% Database system architecture and tuning · 44% Transaction processing and concurrency control · 13%

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

TopicWeightPapersLastEvidence papers
Database system architecture and tuning › extensible database system
extensible database architecture		 0.011998
Xmas: An Extensible Main-Memory Storage System for High-Performance Applications · SIGMOD Conference 1998
Indexing and storage engines
in-memory storage		 0.011998
Xmas: An Extensible Main-Memory Storage System for High-Performance Applications · SIGMOD Conference 1998
Transaction processing and concurrency control › recovery
crash recovery		 0.011998
Xmas: An Extensible Main-Memory Storage System for High-Performance Applications · SIGMOD Conference 1998

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

composite actions · 0.0
YearPublicationVenuePosition
1999 A High-Performance Spatial Storage Based on Main-Memory Database Architecture
Jang Ho Park, Ki Hong Kim, Sang Kyun Cha, Min Seok Song, Juchang Lee
 DEXA1
1998 Xmas: An Extensible Main-Memory Storage System for High-Performance Applications
abstract
Xmas is an extensible main-memory storage system for high-performance embedded database applications. Xmas not only provides the core functionality of DBMS, such as data persistence, crash recovery, and concurrency control, but also pursues an extensible architecture to meet the requirements from various application areas. One crucial aspect of such extensibility is that an application developer can compose application-specific, high-level operations with a basic set of operations provided by the system. Called composite actions in Xmas, these operations are processed by a customized Xmas server with minimum interaction with application processes, thus improving the overall performance. This paper first presents the architecture and functionality of Xmas, and then demonstrates a simulation of mobile communication service.
Jang Ho Park, Yongsik Kwon, Ki Hong Kim, Byoung Dae Park, Sang Kyun Cha
 SIGMOD Conference1
1997 Xmas: An Extensible Main-Memory Storage System
abstract
This paper presents the architecture of Xmas, an extensible mainmemory storage system for high-performance and real-time database applications.Xmas not only provides the core functionality of a DBMS, such as data persistence, concurrency control, and crash recovery, but aIso has an extensible architecture to deal with requirements from various applications.One crucial aspect of such extensibility is that an application developer can compose applicationspecific, high-level operations with a basic set of operations provided by the system.CalIed composite actions in Xmas, these operations are processed by a customized Xmar server with minimum interaction with application processes, thus increasing the overall performance.
Sang Kyun Cha, Jang Ho Park, Byoung Dae Park
 CIKM2