2023
FORTE: an extensible framework for robustness and efficiency in data transfer pipelines. Martin Hilgendorf, Vincenzo Gulisano, Marina Papatriantafilou, Jan Engström, Binay Mishra. The 17th ACM International Conference on Distributed Event-Based Systems (DEBS 2023).
Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads. Fuasto Frasca, Vincenzo Gulisano, Gabriele Mencagli, Dimitrios Palyvos-Giannas, Massimo Torquati. ACM Computing Frontiers 2023.
PARMA-CC: A Family of Parallel Multiphase Approximate Cluster Combining Algorithms. Amir Keramatian, Vincenzo Gulisano, Marina Papatriantafilou, Philippas Tsigas. Elsevier Journal of Parallel and Distributed Computing. 2023.
Erebus: Explaining the Outputs of Data Streaming Queries. Dimitris Palyvos-Giannas, Katerina Tzompanaki, Marina Papatriantafilou, Vincenzo Gulisano. 49th International Conference on Very Large Data Bases (VLDB). 2023.
Cost-Optimization for Win-Win P2P Energy Systems. Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou. Innovative Smart Grid Technologies (ISGT) Conference 2023
2022
Towards Data-Driven Additive Manufacturing Processes. Vincenzo Gulisano, Marina Papatriantafilou, Zhuoer Chen, Eduard Hryha and Lars Nyborg. ACM/IFIP International Middleware Conference. 2022.
Proposing a Framework for Evaluating Learning Strategies in Vehicular CPSs. Bastian Havers, Marina Papatriantafilou, Ashok Koppisetty and Vincenzo Gulisano. ACM/IFIP International Middleware Conference. 2022.
STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing. Vincenzo Gulisano, Hannaneh Najdataei, Yiannis Nikolakopoulos, Alessandro V. Papadopoulos, Marina Papatriantafilou, Philippas Tsigas. IEEE Transactions on Parallel and Distributed Processing (TPDS).
Research Summary: Deterministic, Explainable and Efficient Stream Processing. Dimitris Palyvos-Giannas, Marina Papatriantafilou and Vincenzo Gulisano. Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems (ApPLIED) Workshop, Held in conjunction with PODC. 2022.
IP-LSH-DBSCAN: Integrated Parallel Density-Based Clustering through Locality-Sensitive Hashing. Amir Keramatian, Vincenzo Gulisano, Marina Papatriantafilou and Philippas Tsigas. International European Conference on Parallel and Distributed Computing Euro-Par 2022.
Elasticity. Vincenzo Gulisano, Alessandro V. Papadopoulos, Marina Papatriantafilou.
Chapter of Springer’s Encyclopedia of Big Data Technologies. 2022.
pi-Lisco: Parallel and Incremental Stream-Based Point-Cloud Clustering. Hannaneh Najdataei, Vincenzo Gulisano, Philippas Tsigas and Marina Papatriantafilou. ACM SAC 2022.
Efficient and Scalable Geographical Peer Matching for P2P Energy Sharing Communities (Poster). Romaric Duvignau, Vincenzo Gulisano and Marina Papatriantafilou. ACM SAC 2022.
2021
Time- and Computation-Efficient Data Localization at Vehicular Networks’ Edge. Romaric Duvignau, Bastian Havers, Vincenzo Gulisano and Marina Papatriantafilou. IEEE Access 2021.
Lachesis: A Middleware for Customizing OS Scheduling of Stream Processing Queries. Dimitris Palyvos-Giannas, Gabriele Mencagli, Marina Papatriantafilou and Vincenzo Gulisano. ACM/IFIP International Middleware Conference. 2021.
Benefits of Small-Size Communities for Continuous Cost-Optimization in Peer-to-Peer Energy Sharing. Romaric Duvignau, Verena Heinisch, Lisa Göransson, Vincenzo Gulisano and Marina Papatriantafilou. Elsevier Applied Energy. 2021
Motivations and Challenges for Stream Processing in Edge Computing. Vincenzo Gulisano. Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2021, ICPE Workshop). 2021
Ananke: A Streaming Framework for Live Forward Provenance. Dimitris Palyvos-Giannas, Bastian Havers, Marina Papatriantafilou, Vincenzo Gulisano. 47th International Conference on Very Large Data Bases (VLDB). 2021.
Twins, a Middleware for Adaptive Streaming Provenance at the Edge (poster). Mikael Gordani Shahri, Andréas Erlandsson, Dimitris Palyvos-Giannas, Vincenzo Gulisano. 22nd International Conference on Distributed Computing and Networking (ICDCN). 2021.
2020
MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization. Amir Keramatian, Vincenzo Gulisano, Marina Papatriantafilou and Philippas Tsigas. Elsevier Journal of Parallel and Distributed Computing. 2020
Tutorial: The Role of Event-Time Order in Data Streaming Analysis. Vincenzo Gulisano, Dimitris Palyvos-Giannas, Bastian Havers, Marina Papatriantafilou. The 14th ACM International Conference on Distributed Event-Based Systems (DEBS 2020).
The DEBS 2020 Grand Challenge. Vincenzo Gulisano, Daniel Jorde, Ruben Mayer, Hannaneh Najdataei, Dimitris Palyvos-Giannas. The 14th ACM International Conference on Distributed Event-Based Systems (DEBS 2020).
TinTiN: Travelling inTime (if Necessary) to deal without-of-order data in streaming aggregation. Joris van Rooij, Vincenzo Gulisano, Marina Papatriantafilou. The 14th ACM International Conference on Distributed Event-Based Systems (DEBS 2020).
Intrusion Detection in Industrial Networks via Data Streaming. Ismail Butun, Magnus Almgren, Vincenzo Gulisano and Marina Papatriantafilou. Chapter in Industrial IoT Challenges, Design Principles, Applications, and Security (Springer) 2020
Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing. Romaric Duvignau, Verena Heinisch, Lisa Göransson, Vincenzo Gulisano and Marina Papatriantafilou. The Eleventh ACM International Conference on Future Energy Systems (e-Energy) 2020
DRIVEN: a framework for efficient Data Retrieval and clustering in Vehicular Networks. Bastian Havers, Romaric Duvignau, Hannaneh Najdataei, Vincenzo Gulisano, Marina Papatriantafilou, Ashok Chaitanya Koppisetty. Elsevier Future Generation Computer Systems Journal. 2020.
PARMA-CC: Parallel Multistage Approximate Cluster Combining. Amir Keramatian, Vincenzo Gulisano, Marina Papatriantafilou and Philippas Tsigas. 21st International Conference on Distributed Computing and Networking (ICDCN) 2020
2019
Time-SWAD: A Dataflow Engine for Time-based Single Window Stream Aggregation. Prajith Ramakrishnan Geethakumari, Vincenzo Gulisano, Pedro Trancoso, Ioannis Sourdis. International Conference on Field-Programmable Technology (FPT) 2019
[Demo] Haren: A Middleware for Ad-Hoc Thread Scheduling Policies in Data Streaming. Dimitris Palyvos Giannas, Vincenzo Gulisano and Marina Papatriantafilou. 2019 ACM/IFIP International Middleware Conference.
Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents. Luca Bortolussi, Vincenzo Gulisano, Eric Medvet, Dimitris Palyvos-Giannas. International Workshop on Middleware and Applications for the Internet of Things (M4IoT). ACM/IFIP/USENIX International Middleware Conference. 2019
GeneaLog: Fine-Grained Data Streaming Provenance in Cyber-Physical Systems. Dimitris Palyvos Giannas, Vincenzo Gulisano and Marina Papatriantafilou. 2019 Parallel Computing (Elsevier). [PDF]
Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Time? Romaric Duvignau, Bastian Havers, Vincenzo Gulisano, Marina Papatriantafilou. 22nd Intelligent Transportation Systems Conference (ITSC 2019). [PDF]
Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures. Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Gulisano, Anders Skoogh, Marina Papatriantafilou. 24th IEEE Conference on Emerging Technologies and Factory Automation (ETFA 2019)
The DEBS 2019 Grand Challenge. Oleh Bodunov, Vincenzo Gulisano, Hannaneh Najdataei, Zbigniew Jerzak, André Martin, Pavel Smirnov, Martin Strohbach and Holger Ziekow. The 13th ACM International Conference on Distributed Event-Based Systems (DEBS 2019).
Poster: Mimir – Streaming Operators Classification withArtificial Neural Networks. Victor Gustafsson, Hampus Nilsson, Karl Bäckström, Marina Papatriantafilou, Vincenzo Gulisano. The 13th ACM International Conference on Distributed Event-Based Systems (DEBS 2019)
Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications. Dimitris Palyvos-Giannas, Vincenzo Gulisano, Marina Papatriantafilou. The 13th ACM International Conference on Distributed Event-Based Systems (DEBS 2019) [PDF]
STRETCH: Scalable and Elastic DeterministicStreaming Analysis with Virtual Shared-Nothing Parallelism.Hannaneh Najdataei, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas, Vincenzo Gulisano. The 13th ACM International Conference on Distributed Event-Based Systems (DEBS 2019) [PDF]
Stream-IT: Continuous and dynamic processing of production systems data – throughput bottlenecks as a case-study. Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Gulisano, Anders Skoogh, Marina Papatriantafilou. 28th International Symposium on Industrial Electronics (ISIE 2019).
DRIVEN: a framework for efficient Data Retrieval and clustering in Vehicular Networks. Bastian Havers, Romaric Duvignau, Hannaneh Najdataei, Vincenzo Gulisano, Ashok Chaitanya Koppisetty, Marina Papatriantafilou. 35th IEEE International Conference on Data Engineering (ICDE 2019). [PDF]
Streaming Piecewise Linear Approximation for Efficient Data Management in Edge Computing. Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou, Vladimir Savic. The 34th ACM/SIGAPP Symposium on Applied Computing (SAC19) [PDF]
Elasticity. Vincenzo Gulisano, Alessandro V. Papadopoulos, Marina Papatriantafilou.
Chapter of Springer’s Encyclopedia of Big Data Technologies. 2019.
2018
GeneaLog: Fine-Grained Data Streaming Provenance at the Edge. Dimitris Palyvos Giannas, Vincenzo Gulisano and Marina Papatriantafilou. 2018 ACM/IFIP International Middleware Conference. [PDF]
BES: Differentially Private Event Aggregation for large-scale IoT-based Systems. Valentin Tudor, Vincenzo Gulisano, Magnus Almgren and Marina Papatriantafilou. Elsevier Future Generation Computer Systems Journal. 2018.
Service Level Agreements for Safe and Configurable Production Environments. Mohammad Ashjaei, Kester Clegg, Lorenzo Corneo, Richard Hawkins, Omar Jaradat, Vincenzo Massimiliano Gulisano, Yiannis Nikolakopoulos. IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) 2018.
MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization. Amir Keramatian, Vincenzo Gulisano, Marina Papatriantafilou, Philippas Tsigas and Yiannis Nikolakopoulos. Workshop on Fog-to-Cloud Distributed Processing, Euro-Par 2018.
Viper: A Module for Communication-Layer Determinism and Scaling in Low-Latency Stream Processing. Ivan Walulya, Dimitris Palyvos-Giannas, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou and Philippas Tsigas. Elsevier Future Generation Computer Systems Journal. 2018.
The DEBS 2018 Grand Challenge. Vincenzo Gulisano, Zbigniew Jerzak, Pavel Smirnov, Martin Strohbach, Holger Ziekow and Dimitris Zissis. The 12th ACM International Conference on Distributed Event-Based Systems (DEBS 2018).
LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing. Joris van Rooij, Vincenzo Gulisano, Marina Papatriantafilou. The 12th ACM International Conference on Distributed Event-Based Systems (DEBS 2018).
Continuous and Parallel LiDAR Point-cloud Clustering. Hannaneh Najdataei, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou. 38th IEEE International Conference on Distributed Computing Systems (ICDCS) 2018.
eChIDNA: Continuous Data Validation in Advanced Metering Infrastructures. Joris van Rooij, Johan Swetzén, Vincenzo Gulisano, Magnus Almgren, Marina Papatriantafilou. 5th IEEE International Energy Conference (ENERGYCON). 2018.
2017
Single Window Stream Aggregation using Reconfigurable Hardware. Prajith Ramakrishnan Geethakumari, Vincenzo Gulisano, Bo Joel Svensson, Pedro Trancoso, Ioannis Sourdis. 2017 International Conference on Field-Programmable Technology.
Efficient data streaming multiway aggregation through concurrent algorithmic designs and new abstract data types. Vincenzo Gulisano, Yiannis Nikolakopoulos, Daniel Cederman, Marina Papatriantafilou and Philippas Tsigas. ACM Transactions on
Parallel Computing (TOPC), 2017.
Viper: Communication-Layer Determinism and Scaling in Low-Latency Stream Processing. Ivan Walulya, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou and Philippas Tsigas. Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP) Workshop, Euro-Par 2017.
The DEBS 2017 Grand Challenge. Vincenzo Gulisano, Zbigniew Jerzak, Roman Katerinenko, Martin Strohbach and Holger Ziekow. The 11th ACM International Conference on Distributed Event-Based Systems (DEBS 2017). [PDF]
Performance Modeling of Stream Joins. Vincenzo Gulisano, Alessandro Vittorio Papadopoulos, Yiannis Nikolakopoulos, Marina Papatriantafilou and Philippas Tsigas. The 11th ACM International Conference on Distributed Event-Based Systems (DEBS 2017). [PDF,Slides]
[BEST PAPER AWARD] Maximizing Determinism in Stream Processing Under Latency Constraints. Nikos Zacheilas, Vana Kalogeraki, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou and Philippas Tsigas. The 11th ACM International Conference on Distributed Event-Based Systems (DEBS 2017). [PDF]
2016
Detecting Non-Technical Energy Losses through Structural Periodic Patterns in AMI data. Viktor Botev, Magnus Almgren, Vincenzo Gulisano, Olaf Landsiedel, Marina Papatriantafilou, Joris van Rooij. Workshop on Big Data in Smart Grids (BDSG) – IEEE International Conference on Big Data (IEEE Big Data 2016).
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join. Vincenzo Gulisano, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas. IEEE Transactions on Big Data.
The DEBS 2016 Grand Challenge. Vincenzo Gulisano, Zbigniew Jerzak, Spyros Voulgaris and Holger Ziekow. The 10th ACM International Conference on Distributed Event-Based Systems (DEBS 2016).
Highly Concurrent Stream Synchronization in Many-core Embedded Systems. Yiannis Nikolakopoulos, Marina Papatriantafilou, Peter Brauer, Martin Lundqvist, Vincenzo Gulisano, Philippas Tsigas. 4th ACM International Workshop on Manycore Embedded Systems – MES 2016.
Understanding the Data-Processing Challenges in Intelligent Vehicular Systems. Stefania Costache, Vincenzo Gulisano, Marina Papatriantafilou. 2016 IEEE Intelligent Vehicles Symposium (IV16) [Poster]
BES – Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures. Vincenzo Gulisano, Valentin Tudor, Magnus Almgren and Marina Papatriantafilou. 2nd ACM Cyber-Physical System Security Workshop (CPSS 2016) [held in conjunction with ACM AsiaCCS’16], 2016.
2015
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join. Vincenzo Gulisano, Yiannis Nikolakopoulos, Marina Papatriantafilou and Philippas Tsigas. Eight Swedish Workshop on Multi-Core Computing (MCC) Copenhagen, November 25-26, 2015.
Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges. Vincenzo Gulisano, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas. Book: Algorithms, Probability, Networks, and Games. Springer International Publishing, 2015.
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join. Vincenzo Gulisano, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas. IEEE International Conference on Big Data (IEEE Big Data 2015) [Slides (PDF), Slides (SlideShare)]
STONE: A Streaming DDoS Defense Framework. Vincenzo Gulisano, Mar Callau-Zori, Zhang Fu, Ricardo Jimémez Pers, Marina Papatriantafilou, Marta Patiño. Expert Systems With Applications. 2015
DEBS Grand Challenge: Deterministic Real-Time Analytics of Geospatial Data Streams through ScaleGate Objects. Vincenzo Gulisano,Yiannis Nikolakopoulos, Ivan Walulya, Marina Papatriantafilou, Philippas Tsigas. The 9th ACM International Conference on Distributed Event-Based Systems (DEBS 2015) [pdf, extended technical report]
2014
When Smart Cities meet Big Data. Vincenzo Gulisano, Magnus Almgren, Marina Papatriantafilou. ERCIM News No. 98 – Special theme: Smart Cities [webpage]
Online and Scalable Data Validation in Advanced Metering Infrastructures. Vincenzo Gulisano, Magnus Almgren, Marina Papatriantafilou. The 5th IEEE PES Innovative Smart Grid Technologies (ISGT) European 2014 Conference [Slides (Contain animation, write me for pptx)] [pdf]
METIS: a Two-Tier Intrusion Detection System for Advanced Metering Infrastructures. Vincenzo Gulisano, Magnus Almgren, Marina Papatriantafilou. 10th International Conference on Security and Privacy in Communication Networks (SecureComm) 2014 [Slides (Contain animation, write me for pptx)] [pdf]
Concurrent Data Structures for Efficient Streaming Aggregation (brief announcement). Daniel Cederman, Vincenzo Gulisano, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas. The 26th Annual ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) 2014 [pdf]
METIS: a Two-Tier Intrusion Detection System for Advanced Metering Infrastructures. Vincenzo Gulisano, Magnus Almgren, Marina Papatriantafilou. The fifth International Conference on Future Energy Systems (ACM e-Energy) 2014. [poster]
T-Fuzz: Model-Based Fuzzing for Robustness Testing of Telecommunication Protocols. William Johansson, Martin Svensson, Ulf Larson, Magnu Almgren, Vincenzo Gulisano. 7th International Conference on Software Testing, Verification and Validation (ICST) 2014
2013
A Scalable SIEM Correlation Engine and its Application to the Olympic Games IT Infrastructure. Valerio Vianello, Vincenzo Gulisano, Ricardo Jimenez-Peris, Marta Patiño-Martínez, Rubén Torres, Rodrigo Díaz, Elsa Prieto
8th International Conference on Availability, Reliability and Security (ARES), 2013 [pdf]
Algorithms and Data Handling Towards Adaptive and Robust Electricity Networks. Magnus Almgren, Daniel Cederman, Zhang Fu, Vincenzo Gulisano, Olaf Landsiedel, Marina Papatriantafilou. Chalmers Energy Conference 2013
Cybersecurity in the Smart Grid. Magnus Almgren, Zhang Fu, Vincenzo Gulisano, Marina Papatriantafilou, Valentin Tudor. Chalmers Energy Conference 2013
Stone: A Stream-based DDoS Defense Framework. Mar Callau, Vincenzo Gulisano, Zhang Fu, Ricardo Jimenez-Peris, Marina Papatriantafilou, Marta Patiño-Martinez. 28th Annual ACM Symposium on Applied Computing (SAC) 2013, March 18-22, Coimbra, Portugal [Slides (Contain animation, write me for pptx)] [pdf]
2012
StreamCloud: An Elastic Parallel-Distributed Stream Processing Engine. Vincenzo Gulisano. Ph.D. Thesis. [Slides (Contain animation, write me for pptx)] [pdf]
StreamCloud: An Elastic and Scalable Data Streaming System. Vincenzo Gulisano, Ricardo Jimenez-Peris, Marta Patiño-Martinez, Claudio Soriente, Patrick Valduriez. IEEE Transactions on Parallel and Distributed Processing (TPDS) [pdf]
A Big Data Platform for Large Scale Event Processing. Vincenzo Gulisano, Ricardo Jimenez-Peris, Marta Patiño-Martinez, Claudio Soriente, Patrick Valduriez. ERCIM News 2012 (89) [pdf]
2011
Complex Event Processing Based SIEM. Vincenzo Gulisano, Ricardo Jimenez-Peris, Marta Patiño-Martinez, Claudio Soriente, Valerio Vianello. Book: Advances in Security Information Management: Perceptions and Outcomes. 2011 [pdf]
2010
StreamCloud: A Large Scale Data Streaming System. Vincenzo Gulisano, Ricardo Jimenez-Peris, Marta Patiño-Martinez, Patrick Valduriez. 30th International Conference on Distributed Computing Systems (ICDCS) 2010, June 21-15, Genoa, Italy [pdf]
A New Class of Services for Cloud Computing: Real-Time Services over Massive and Continuous Data Flows. Ricardo Jimenez-Peris, Marta Patiño-Martinez, Vincenzo Gulisano. Cloud Futures 2010 Workshop. Microsoft Research Redmond WA USA. April 8-9, 2010
Vincenzo Gulisano, Ph.D. 