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Constantin Roudsarabi

dblp:243/2497 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—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 · 50% Query processing and optimization · 50%

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

TopicWeightPapersLastEvidence papers
Data stream processing › stream join
multi-way stream join
0.412019
CLASH: A High-Level Abstraction for Optimized, Multi-Way Stream Joins over Apache Storm · SIGMOD Conference 2019
Query processing and optimization
query optimization
0.412019
CLASH: A High-Level Abstraction for Optimized, Multi-Way Stream Joins over Apache Storm · SIGMOD Conference 2019
YearPublicationVenuePosition
2019 CLASH: A High-Level Abstraction for Optimized, Multi-Way Stream Joins over Apache Storm
abstract
We propose the demonstration of CLASH, a high-level abstraction on top of Apache Storm. CLASH is designed around MultiStream, a novel join operator designed for native support of distributed, multi-way stream joins. MultiStream allows trading off materialization of intermediate results versus communication load. With this demonstration, we invite the audience to explore the full potential of CLASH: multi-way stream joins, creation of complex join plans and their automated optimization, and ultimately the hassle-free SQL-style user/application interface and the translation of the optimized query plans to deployable Storm topologies that are executed on our local compute cluster.
Manuel Dossinger, Sebastian Michel 0001, Constantin Roudsarabi
SIGMOD Conference3