activity
20192026
most citedStyx: Transactional Stateful Functions on Streaming Dataflows

3 citations · 4 across the 5 of their papers we have counts for

collaborators

7 papers

cs.DB2026

The Missing Dimensions in Geo-Distributed Database Evaluation

Oto Mraz, Kyriakos Psarakis, George Christodoulou +2

Geo-distributed OLTP databases are widely deployed across cloud regions, yet current evaluation practices do not cover the challenges of this aspect. Existing benchmarks assume sta…

cs.DC2024

CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows

George Siachamis, Kyriakos Psarakis, Marios Fragkoulis +3

Stream processing in the last decade has seen broad adoption in both commercial and research settings. One key element for this success is the ability of modern stream processors t…

cs.DC2023★ 3 cited

Styx: Transactional Stateful Functions on Streaming Dataflows

Kyriakos Psarakis, George Christodoulou, George Siachamis +2

Developing stateful cloud applications, such as low-latency workflows and microservices with strict consistency requirements, remains arduous for programmers. The Stateful Function…

cs.DB2022★ 1 cited

SiMa: Effective and Efficient Matching Across Data Silos Using Graph Neural Networks

Christos Koutras, Rihan Hai, Kyriakos Psarakis +2

How can we leverage existing column relationships within silos, to predict similar ones across silos? Can we do this efficiently and effectively? Existing matching approaches do no…

cs.DC2021

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows

Kyriakos Psarakis, Wouter Zorgdrager, Marios Fragkoulis +2

Although the cloud has reached a state of robustness, the burden of using its resources falls on the shoulders of programmers who struggle to keep up with ever-growing cloud infras…

cs.DB2020

Valentine: Evaluating Matching Techniques for Dataset Discovery

Christos Koutras, George Siachamis, Andra Ionescu +6

Data scientists today search large data lakes to discover and integrate datasets. In order to bring together disparate data sources, dataset discovery methods rely on some form of…

cs.LG2019

Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges

Bianca Iancu, Gabriele Mazzola, Kyriakos Psarakis +1

One of the best ways for developers to test and improve their skills in a fun and challenging way are programming challenges, offered by a plethora of websites. For the inexperienc…