EDBT 2026 Demo / reviewers in the wild / expert
Stanislav Kozlovski
dblp:358/1904
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 56% Distributed systems · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › cloud platform
cloud-native platform |
0.7 | 1 | 2023 | Kora: A Cloud-Native Event Streaming Platform for Kafka · Proc. VLDB Endow. 2023 |
Distributed systems
fault tolerance |
0.7 | 1 | 2023 | Kora: A Cloud-Native Event Streaming Platform for Kafka · Proc. VLDB Endow. 2023 |
Cloud and datacenter computing
cluster resource management and scheduling |
0.2 | 1 | 2023 | Kora: A Cloud-Native Event Streaming Platform for Kafka · Proc. VLDB Endow. 2023 |
Methods — techniques the papers use, named apart from their topics
distributed systems design · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Kora: A Cloud-Native Event Streaming Platform for KafkaabstractEvent streaming is an increasingly critical infrastructure service used in many industries and there is growing demand for cloud-native solutions. Confluent Cloud provides a massive scale event streaming platform built on top of Apache Kafka with tens of thousands of clusters running in 70+ regions across AWS, Google Cloud, and Azure. This paper introduces Kora , the cloud-native platform for Apache Kafka at the core of Confluent Cloud. We describe Kora's design that enables it to meet its cloud-native goals, such as reliability, elasticity, and cost efficiency. We discuss Kora's abstractions which allow users to think in terms of their workload requirements and not the underlying infrastructure, and we discuss how Kora is designed to provide consistent, predictable performance across cloud environments with diverse capabilities. Anna Povzner, Prince Mahajan, Jason Gustafson, Jun Rao, Ismael Juma, Feng Min, Shriram Sridharan, Nikhil Bhatia, Gopi K. Attaluri, Adithya Chandra, Stanislav Kozlovski, Rajini Sivaram, Lucas Bradstreet, Bob Barrett, Dhruvil Shah, David Jacot, David Arthur, Manveer Chawla, Ron Dagostino, Colin Mccabe, Manikumar Reddy Obili, Kowshik Prakasam, Jose Garcia Sancio, Alok Nikhil |
Proc. VLDB Endow. | 11 |