Demo Data from EDBT 2026 / reviewers in the wild / expert
Constantin Roudsarabi
dblp:243/2497
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data stream processing › stream join
multi-way stream join |
0.4 | 1 | 2019 | CLASH: A High-Level Abstraction for Optimized, Multi-Way Stream Joins over Apache Storm · SIGMOD Conference 2019 |
Query processing and optimization
query optimization |
0.4 | 1 | 2019 | CLASH: A High-Level Abstraction for Optimized, Multi-Way Stream Joins over Apache Storm · SIGMOD Conference 2019 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | CLASH: A High-Level Abstraction for Optimized, Multi-Way Stream Joins over Apache StormabstractWe 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 Conference | 3 |