EDBT 2026 Demo / reviewers in the wild / expert
Grzegorz Gierlach
dblp:288/2491
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
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 · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 77% Cloud and datacenter computing · 23% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data stream processing
distributed stream processing |
0.5 | 1 | 2021 | Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile · Proc. VLDB Endow. 2021 |
Data stream processing › stream processing systems
low-latency stream processing |
0.5 | 1 | 2021 | Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile · Proc. VLDB Endow. 2021 |
Distributed systems › fault tolerance
exactly-once processing |
0.5 | 1 | 2021 | Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile · Proc. VLDB Endow. 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Hazelcast Jet: Low-latency Stream Processing at the 99.99th PercentileabstractJet is an open source, high performance, distributed stream processor built at Hazelcast during the last five years. Jet was engineered with millisecond latency on the 99.99th percentile as its primary design goal. Originally Jet's purpose was to be an execution engine that performs complex business logic on top of streams generated by Hazelcast's In-memory Data Grid (IMDG): a set of in-memory, partitioned and replicated data structures. With time, Jet evolved into a full-fledged, scale-out stream processor that can handle out-of-order streams and provide exactly-once processing guarantees. Jet's end-to-end latency lies in the order of milliseconds, and its throughput in the order of millions of events per CPU-core. This paper presents the main design decisions we made in order to maximize the performance per CPU-core, alongside lessons learned, and an empirical performance evaluation. Can Gencer, Marko Topolnik, Viliam Durina, Emin Demirci, Ensar B. Kahveci, Ali Gürbüz, József Bartók, Grzegorz Gierlach, Frantisek Hartman, Ufuk Yilmaz, Ondrej Lukás, Mehmet Dogan, Mohamed Mandouh, Marios Fragkoulis, Asterios Katsifodimos |
Proc. VLDB Endow. | 8 |