Asterios Katsifodimos

According to our database, Asterios Katsifodimos authored at least 73 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on the evolution of stream processing systems.

Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos

VLDB J., 2024

FeatNavigator: Automatic Feature Augmentation on Tabular Data.

Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala

CoRR, 2024

OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories.

Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vasileios Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos

CoRR, 2024

CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows.

George Siachamis, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Paris Carbone, Asterios Katsifodimos

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AutoFeat: Transitive Feature Discovery over Join Paths.

Andra Ionescu, Kiril Vasilev, Florena Buse, Rihan Hai, Asterios Katsifodimos

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Key Insights from a Feature Discovery User Study.

Andra Ionescu, Zeger Mouw, Efthimia Aivaloglou, Asterios Katsifodimos

Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics, 2024

Evaluating Stream Processing Autoscalers.

George Siachamis, George Christodoulou, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Asterios Katsifodimos

Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems, 2024

LLM-PQA: LLM-enhanced Prediction Query Answering.

Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Human-in-the-Loop Feature Discovery for Tabular Data.

Andra Ionescu, Zeger Mouw, Efthimia Aivaloglou, Rihan Hai, Asterios Katsifodimos

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Styx: Deterministic Transactional Serverless Functions on Streaming Dataflows.

Kyriakos Psarakis, George Siachamis, George Christodoulou, Marios Fragkoulis, Asterios Katsifodimos

CoRR, 2023

Metadata Representations for Queryable Repositories of Machine Learning Models.

Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Marco Brambilla, Alessandro Bozzon

IEEE Access, 2023

Accelerating Machine Learning Queries with Linear Algebra Query Processing.

Wenbo Sun, Asterios Katsifodimos, Rihan Hai

Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

Leveraging Large Language Models for Sequential Recommendation.

Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Optimizing ML Inference Queries Under Constraints.

Ziyu Li, Mariette Schönfeld, Wenbo Sun, Marios Fragkoulis, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos

Proceedings of the Web Engineering - 23rd International Conference, 2023

Macaroni: Crawling and Enriching Metadata from Public Model Zoos.

Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Alessandro Bozzon

Proceedings of the Web Engineering - 23rd International Conference, 2023

Topio: An Open-Source Web Platform for Trading Geospatial Data.

Andra Ionescu, Kostas Patroumpas, Kyriakos Psarakis, Georgios Chatzigeorgakidis, Diego Collarana, Kai Barenscher, Dimitrios Skoutas, Asterios Katsifodimos, Spiros Athanasiou

Proceedings of the Web Engineering - 23rd International Conference, 2023

An Empirical Performance Comparison between Matrix Multiplication Join and Hash Join on GPUs.

Wenbo Sun, Asterios Katsifodimos, Rihan Hai

Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Towards Evaluating Stream Processing Autoscalers.

George Siachamis, Job Kanis, Wybe Koper, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Asterios Katsifodimos

Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Optimizing Machine Learning Inference Queries for Multiple Objectives.

Ziyu Li, Mariette Schönfeld, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos

Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Amalur: Data Integration Meets Machine Learning.

Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie van Schijndel, Yan Kang, Asterios Katsifodimos

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Topio Marketplace: Search and Discovery of Geospatial Data.

Andra Ionescu, Alexandra Alexandridou, Leonidas Ikonomou, Kyriakos Psarakis, Kostas Patroumpas, Georgios Chatzigeorgakidis, Dimitrios Skoutas, Spiros Athanasiou, Rihan Hai, Asterios Katsifodimos

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Adaptive Distributed Streaming Similarity Joins.

George Siachamis, Kyriakos Psarakis, Marios Fragkoulis, Odysseas Papapetrou, Arie van Deursen, Asterios Katsifodimos

Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, 2023

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows.

Kyriakos Psarakis, Wouter Zorgdrager, Marios Fragkoulis, Guido Salvaneschi, Asterios Katsifodimos

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

Automatic Table Union Search with Tabular Representation Learning.

Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Transactions across serverless functions leveraging stateful dataflows.

Martijn de Heus, Kyriakos Psarakis, Marios Fragkoulis, Asterios Katsifodimos

Inf. Syst., 2022

Metadata Representations for Queryable ML Model Zoos.

Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos

CoRR, 2022

SiMa: Effective and Efficient Data Silo Federation Using Graph Neural Networks.

Christos Koutras, Rihan Hai, Kyriakos Psarakis, Marios Fragkoulis, Asterios Katsifodimos

CoRR, 2022

Bridging the Gap between Data Integration and ML Systems.

Rihan Hai, Yan Kang, Christos Koutras, Andra Ionescu, Asterios Katsifodimos

CoRR, 2022

S-QUERY: Opening the Black Box of Internal Stream Processor State.

Jim Verheijde, Vassilios Karakoidas, Marios Fragkoulis, Asterios Katsifodimos

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Join Path-Based Data Augmentation for Decision Trees.

Andra Ionescu, Rihan Hai, Marios Fragkoulis, Asterios Katsifodimos

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

Amalur: Next-generation Data Integration in Data Lakes.

Rihan Hai, Christos Koutras, Andra Ionescu, Asterios Katsifodimos

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Data Platforms for Data Spaces.

Amin Anjomshoaa, Santiago Cáceres Elvira, Christian Wolff, Juan Carlos Pérez Baún, Manos Karvounis, Marco Mellia, Spiros Athanasiou, Asterios Katsifodimos, Alexandra Garatzogianni, Andreas Trügler, Martin Serrano, Achille Zappa, Yury Glikman, Tuomo Tuikka, Edward Curry

Proceedings of the Data Spaces - Design, 2022

2021

Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems.

Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

ACM Trans. Database Syst., 2021

Valentine in Action: Matching Tabular Data at Scale.

Christos Koutras, Kyriakos Psarakis, George Siachamis, Andra Ionescu, Marios Fragkoulis, Angela Bonifati, Asterios Katsifodimos

Proc. VLDB Endow., 2021

Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile.

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., 2021

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows.

Wouter Zorgdrager, Kyriakos Psarakis, Marios Fragkoulis, Eelco Visser, Asterios Katsifodimos

CoRR, 2021

Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows.

Pedro F. Silvestre, Marios Fragkoulis, Diomidis Spinellis, Asterios Katsifodimos

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Valentine: Evaluating Matching Techniques for Dataset Discovery.

Christos Koutras, George Siachamis, Andra Ionescu, Kyriakos Psarakis, Jerry Brons, Marios Fragkoulis, Christoph Lofi, Angela Bonifati, Asterios Katsifodimos

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Distributed transactions on serverless stateful functions.

Martijn de Heus, Kyriakos Psarakis, Marios Fragkoulis, Asterios Katsifodimos

Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2020

Beyond Analytics: The Evolution of Stream Processing Systems.

Paris Carbone, Marios Fragkoulis, Vasiliki Kalavri, Asterios Katsifodimos

Proceedings of the 2020 International Conference on Management of Data, 2020

REMA: Graph Embeddings-based Relational Schema Matching.

Christos Koutras, Marios Fragkoulis, Asterios Katsifodimos, Christoph Lofi

Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

2019

Stream Window Aggregation Semantics and Optimization.

Paris Carbone, Asterios Katsifodimos, Seif Haridi

Proceedings of the Encyclopedia of Big Data Technologies., 2019

An Intermediate Representation for Optimizing Machine Learning Pipelines.

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl

Proc. VLDB Endow., 2019

Stateful Functions as a Service in Action.

Adil Akhter, Marios Fragkoulis, Asterios Katsifodimos

Proc. VLDB Endow., 2019

Muses: Distributed Data Migration System for Polystores.

Abdulrahman Kaitoua, Tilmann Rabl, Asterios Katsifodimos, Volker Markl

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Efficient Window Aggregation with General Stream Slicing.

Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

Proceedings of the Advances in Database Technology, 2019

Operational Stream Processing: Towards Scalable and Consistent Event-Driven Applications.

Asterios Katsifodimos, Marios Fragkoulis

Proceedings of the Advances in Database Technology, 2019

Generating Reproducible Out-of-Order Data Streams.

Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl

Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019

2018

Benchmarking Distributed Stream Processing Engines.

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

CoRR, 2018

Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing.

Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Benchmarking Distributed Stream Data Processing Systems.

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

BlockJoin: Efficient Matrix Partitioning Through Joins.

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl

Proc. VLDB Endow., 2017

Optimized on-demand data streaming from sensor nodes.

Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Large-Scale Data Stream Processing Systems.

Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, Seif Haridi

Proceedings of the Handbook of Big Data Technologies, 2017

2016

Implicit Parallelism through Deep Language Embedding.

Alexander Alexandrov, Asterios Katsifodimos, Georgi Krastev, Volker Markl

SIGMOD Rec., 2016

Apache Flink in current research.

Tilmann Rabl, Jonas Traub, Asterios Katsifodimos, Volker Markl

it Inf. Technol., 2016

Bridging the gap: towards optimization across linear and relational algebra.

Andreas Kunft, Alexander Alexandrov, Asterios Katsifodimos, Volker Markl

Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2016

Emma in Action: Declarative Dataflows for Scalable Data Analysis.

Alexander Alexandrov, Andreas Salzmann, Georgi Krastev, Asterios Katsifodimos, Volker Markl

Proceedings of the 2016 International Conference on Management of Data, 2016

Apache Flink: Stream Analytics at Scale.

Asterios Katsifodimos, Sebastian Schelter

Proceedings of the 2016 IEEE International Conference on Cloud Engineering Workshop, 2016

Cutty: Aggregate Sharing for User-Defined Windows.

Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, Volker Markl

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Apache Flink™: Stream and Batch Processing in a Single Engine.

Paris Carbone, Asterios Katsifodimos, Stephan Ewen, Volker Markl, Seif Haridi, Kostas Tzoumas

IEEE Data Eng. Bull., 2015

Optimistic Recovery for Iterative Dataflows in Action.

Sergey Dudoladov, Chen Xu, Sebastian Schelter, Asterios Katsifodimos, Stephan Ewen, Kostas Tzoumas, Volker Markl

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Implicit Parallelism through Deep Language Embedding.

Alexander Alexandrov, Andreas Kunft, Asterios Katsifodimos, Felix Schüler, Lauritz Thamsen, Odej Kao, Tobias Herb, Volker Markl

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2013

Scalable view-based techniques for web data : algorithms and systems. (Techniques efficaces basées sur des vues matérialisées pour la gestion des données du Web : algorithmes et systèmes).

Asterios Katsifodimos

PhD thesis, 2013

Delta: Scalable Data Dissemination under Capacity Constraints.

Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu

Proc. VLDB Endow., 2013

2012

Minersoft: Software retrieval in grid and cloud computing infrastructures.

Marios D. Dikaiakos, Asterios Katsifodimos, George Pallis

ACM Trans. Internet Techn., 2012

Materialized view selection for XQuery workloads.

Asterios Katsifodimos, Ioana Manolescu, Vasilis Vassalos

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

ViP2P: Efficient XML Management in DHT Networks.

Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos

Proceedings of the Web Engineering - 12th International Conference, 2012

2011

The ViP2P Platform: XML Views in P2P

Konstantinos Karanasos, Asterios Katsifodimos, Ioana Manolescu, Spyros Zoupanos

CoRR, 2011

2010

Searching for Software on the EGEE Infrastructure.

George Pallis, Asterios Katsifodimos, Marios D. Dikaiakos

J. Grid Comput., 2010

LiquidXML: adaptive XML content redistribution.

Jesús Camacho-Rodríguez, Asterios Katsifodimos, Ioana Manolescu, Alexandra Roatis

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Effective Keyword Search for Software Resources Installed in Large-Scale Grid Infrastructures.

George Pallis, Asterios Katsifodimos, Marios D. Dikaiakos

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Harvesting Large-Scale Grids for Software Resources.

Asterios Katsifodimos, George Pallis, Marios D. Dikaiakos

Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009