Beomjin Yun

dblp:75/7992 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Data stream processing · 77% Data integration and cleaning · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning
heterogeneous data source integration
0.012010
A demonstration of the MaxStream federated stream processing system · ICDE 2010

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

query translation · 0.1persistency management · 0.1
YearPublicationVenuePosition
2010 A demonstration of the MaxStream federated stream processing system
abstract
MaxStream is a federated stream processing system that seamlessly integrates multiple autonomous and heterogeneous Stream Processing Engines (SPEs) and databases. In this paper, we propose to demonstrate the key features of MaxStream using two application scenarios, namely the Sales Map & Spikes business monitoring scenario and the Linear Road Benchmark, each with a different set of requirements. More specifically, we will show how the MaxStream Federator can translate and forward the application queries to two different commercial SPEs (Coral8 and StreamBase), as well as how it does so under various persistency requirements.
Irina Botan, Younggoo Cho, Roozbeh Derakhshan, Nihal Dindar, Laura M. Haas, Chulwon Lee, Girish Mundada, Ming-Chien Shan, Nesime Tatbul, Beomjin Yun
ICDE13