Continuous Deep Analytics

Research

Project Reports

PhD Dissertations

Posters

MSc Theses

Conferences, Journals and Workshops

  • H Ng, S Haridi, P Carbone. Omni-Paxos: Breaking the Barriers of Partial Connectivity - EuroSys’23

  • H Ng, K Wu, P Carbone. UniCache: Efficient Log Replication through Learning Workload Patterns - EDBT2023

  • J Spenger, C Huang, P Haller, P Carbone - Portals: A Showcase of Multi-Dataflow Stateful Serverless - PVLDB 2023.

  • Vasiloudis, Theodore, Foteini Beligianni, and Gianmarco De Francisci Morales - BoostVHT: Boost- ing Distributed Streaming Decision Trees Proceedings of the 2017 ACM Conference on Information and Knowledge Management ACM, (2017)

  • J Zeng, P Romano, J Barreto, L Rodrigues, S Haridi - Online Tuning of Parallelism Degree in Parallel Nesting Transactional Memory IEEE International Parallel and Distributed Processing Symposium (IPDPS 2018)

  • M Ismail, M Ronström, S Haridi, J Dowling - ePipe: Near Real-Time Polyglot Persistence of HopsFS Metadata 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing 2019

  • Kefato, Girdzijauskas et al. Context-sensitive node representations - Gossip and Attend: Context-Sensitive Graph Representation Learning ICWSM 2020

  • Antaris, Girdzijauskas et al. EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events IEEE Big Data 2020

  • Lee, Girdzijauskas et al. Z-Embedding: A spectral representation of event intervals for efficient clustering and classification ECML/PKDD 2020

  • S Horchidan, P Carbone - ORB: Empowering Graph Queries through Inference - DMKG @ ESWC 2023.

  • J Spenger, P Carbone, P Haller. Portals: An Extension of Dataflow Streaming for Stateful Serverless - Onward! 2022, SPLASH 2022

  • S Horchidan, E Kritharakis, B Kalavri, P Carbone - Evaluating model serving strategies over streaming data - DEEM @ SIGMOD 2022 (Best Paper Award)

  • M Zwolak, Z Abbas, S Horchidan, P Carbone, V Kalavri - GCNSplit: Bounding the State of Streaming Graph Partitioning - aiDM @ SIGMOD 2022

  • J Spenger, P Carbone, P Haller. Wip: Pods: Privacy compliant scalable decentralized data services - Poly @ VLDB 2021

  • P Carbone, M Fragkoulis, V Kalavri, A Katsifodimos - Beyond Analytics: the Evolution of Stream Processing Systems - ACM SIGMOD 2020 (draft)

  • H Boström, U Johansson – Mondrian Conformal Regressors - COPA 2020

  • L Karlsson, H Boström, P Zieger – Classification of Aerosol Particles using Inductive Conformal Prediction - COPA (2020)

  • H Werner, L Carlsson, E Ahlberg, H Boström – Evaluating Different Approaches to Calibrating Conformal Predictive Systems - COPA 2020

  • H Bostroöm, P Höglund, S-O Junker, A-S Oberg, M Sparr – Explaining Multivariate Time Series Forecasts: an Application to Predicting the Swedish GDP, XI-ML (2020)

  • T Vasiloudis, H Cho, H Boström – Block-distributed Gradient Boosted Trees, Workshop on Systems for ML at NeurIPS (2019)

  • Max Meldrum, Klas Segeljakt, Lars Kroll, Paris Carbone, Christian Schulte, Seif Haridi - Arcon: Continuous and Deep Data Stream Analytics - BIRTE @ VLDB 2019 (preprint)

  • Lars Kroll, Klas Segeljakt, Paris Carbone, Christian Schulte, Seif Haridi - Arc: An IR for Batch and Stream Programming - DBPL @ PLDI 2019 (preprint)

  • Theodore Vasiloudis, Gianmarco De Francisci Morales, and Henrik Boström. - Quantifying Uncertainty in Online Regression Forests. - Journal of Machine Learning Research 2019 (preprint)

  • Theodore Vasiloudis, Hyunsu Cho, Henrik Boström - Block-distributed Gradient Boosted Trees - ACM SIGIR 2019 (Best Short Paper Award) (preprint)

  • Salman Niazi, Mikael Ronström. Seif Haridi, Jim Dowling - Size Matters: Improving the Performance of Small Files in Hadoop - ACM Middleware 2018

  • Z Abbas, V Kalavri, P Carbone, V Vlassov - Streaming graph partitioning: an experimental study - VLDB 2018

  • Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi - High-level programming abstractions for distributed graph processing-IEEE Transactions in Knowledge Data Engineering (TKDE Journal) 2018

  • Sherif Sakr, Tilmann Rabl, Martin Hirzel , Paris Carbone, Martin Strohbach - Dagstuh Seminar on Big Stream Processing SIGMOD Record 2018

  • Lars Kroll, Paris Carbone, Seif Haridi - Kompics Scala: narrowing the gap between algorithmic specification and executable code (ACM SIGPLAN Symposium on Scala 2017)

  • Carbone, P., Ewen, S., Fóra, G., Haridi, S., Richter, S., & Tzoumas, K. - State management in Apache Flink®: consistent stateful distributed stream processing. Proceedings of the VLDB Endowment (2017)

  • Muhammad Anis Uddin Nasir, Aristides Gionis, Gianmarco De Francisci Morales, Sarunas Girdzijauskas – Fully Dynamic Algorithm for Top-k Densest Subgraphs - CIKM 2017

  • Kambiz Ghoorchian, Sarunas Girdzijauskas, Fatemeh Rahimian – DeGPar: Large Scale Topic - Detection Using Node-Cut Partitioning on Dense Weighted Graphs. - ICDCS 2017

  • Lars Kroll, Jim Dowling, Seif Haridi - Static Type Checking for the Kompics Component Model: Kola – The Kompics Language - PMLDC @ ECOOP 2016

  • Carbone, P., Katsifodimos, A., Ewen, S., Markl, V., Haridi, S., & Tzoumas, K. . - Apache flink: Stream and batch processing in a single engine. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, (2015)

Technical Reports and Surveys

  • Paris Carbone, Asterios Katsifodimos, Seif Haridi - Stream Window Aggregation Semantics and Optimization Encyclopedia of Big Data Technologies (2019)

  • S Haridi, L Kroll, P Carbone - Lecture Notes on Leader-based Sequence Paxos – An Understandable Sequence Consensus Algorithm arXiv preprint (2020)

  • M Fragkoulis, P Carbone, V Kalavri, A Katsifodimos – A Survey on the Evolution of Stream Processing Systems, arXiv preprint (2020)

Talks and Events

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