Vincenzo Massimiliano Gulisano

Professor at Network and Systems

More details on personal website

Source: chalmers.se
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Showing 82 publications

2024

Evolutionary Computation Meets Stream Processing

Vincenzo Massimiliano Gulisano, Eric Medvet
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14634 LNCS, p. 377-393
Paper in proceeding
2024
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Research Summary: Enhancing Localization, Selection, and Processing of Data in Vehicular Cyber-Physical Systems

Bastian Havers, Marina Papatriantafilou, Vincenzo Massimiliano Gulisano
Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems, p. 91-95
Paper in proceeding
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2024
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Survey: Time-Series Data Preprocessing: A Survey and an Empirical Analysis

Amal Tawalkuli, Bastian Havers, Vincenzo Massimiliano Gulisano et al
Journal of Engineering Research
Journal article
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2024

Aggregates are all you need (to bridge stream processing and Complex Event Recognition)

Vincenzo Massimiliano Gulisano, Alessandro Margara
DEBS 2024 - Proceedings of the 18th ACM International Conference on Distributed and Event-Based Systems, p. 66-77
Paper in proceeding
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2024

Nona: A Framework for Elastic Stream Provenance

Bastian Havers, Marina Papatriantafilou, Vincenzo Massimiliano Gulisano
Proceedings - International Conference on Distributed Computing Systems, p. 703-714
Paper in proceeding
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2024
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An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates

Vincenzo Massimiliano Gulisano
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14351 LNCS, p. 18-29
Paper in proceeding
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2023
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Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads

Fausto Frasca, Vincenzo Massimiliano Gulisano, Gabriele Mencagli et al
Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, p. 144-153
Paper in proceeding
2023

Cost-Optimization for Win-Win P2P Energy Systems

Romaric Duvignau, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
2023 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2023
Paper in proceeding
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2023
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PARMA-CC: A Family of Parallel Multiphase Approximate Cluster Combining Algorithms

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Journal of Parallel and Distributed Computing. Vol. 177, p. 68-88
Journal article
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2023
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FORTE: an extensible framework for robustness and efficiency in data transfer pipelines

Martin Hilgendorf, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
DEBS 2023 - Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, p. 139-150
Paper in proceeding
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2022

Efficient and scalable geographical peer matching for P2P energy sharing communities

Romaric Duvignau, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Proceedings of the ACM Symposium on Applied Computing, p. 187-190
Paper in proceeding
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2022

Research Summary: Deterministic, Explainable and Efficient Stream Processing

Dimitrios Palyvos-Giannas, Marina Papatriantafilou, Vincenzo Massimiliano Gulisano
ApPLIED 2022 - Proceedings of the 2022 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating Algorithms for Distributed Systems, p. 65-69
Paper in proceeding
2022

IP. LSH. DBSCAN : Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13440 LNCS, p. 268-284
Paper in proceeding
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2022
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Proposing a framework for evaluating learning strategies in vehicular CPSs

Bastian Havers, Marina Papatriantafilou, Ashok Krishna Chaitanya Koppisetty et al
Middleware 2022 Industrial Track - Proceedings of the 23rd International Middleware Conference Industrial Track, Part of Middleware 2022, p. 22-28
Paper in proceeding
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2022
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Towards data-driven additive manufacturing processes

Vincenzo Massimiliano Gulisano, Marina Papatriantafilou, Zhuoer Chen et al
Middleware 2022 Industrial Track - Proceedings of the 23rd International Middleware Conference Industrial Track, Part of Middleware 2022, p. 43-49
Paper in proceeding
2022

pi-Lisco: parallel and incremental stream-based point-cloud clustering

Hannaneh Najdataei, Vincenzo Massimiliano Gulisano, Philippas Tsigas et al
Proceedings of the ACM Symposium on Applied Computing, p. 460-469
Paper in proceeding
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2022

Erebus: Explaining the Outputs of Data Streaming Queries

Dimitrios Palyvos-Giannas, Katerina Tzompanaki, Marina Papatriantafilou et al
Proceedings of the VLDB Endowment. Vol. 16 (2), p. 230-242
Paper in proceeding
2021

MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Journal of Parallel and Distributed Computing. Vol. 147, p. 248-267
Journal article
2021

ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
IEEE Transactions on Big Data. Vol. 7 (2), p. 299-312
Journal article
2021
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Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge

Romaric Duvignau, Bastian Havers, Vincenzo Massimiliano Gulisano et al
IEEE Access. Vol. 9, p. 137714-137732
Journal article
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2021

Poster: Twins, a Middleware for Adaptive Streaming Provenance at the Edge

Mikael Gordani Shahri, Andréas Erlandsson, Dimitrios Palyvos-Giannas et al
ACM International Conference Proceeding Series, p. 235-236
Paper in proceeding
2021
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Motivations and challenges for stream processing in edge computing

Vincenzo Massimiliano Gulisano
ICPE 2021 - Companion of the ACM/SPEC International Conference on Performance Engineering, p. 17-18
Paper in proceeding
2021

Lachesis: A Middleware for Customizing OS Scheduling of Stream Processing Queries

Dimitrios Palyvos-Giannas, Gabriele Mencagli, Marina Papatriantafilou et al
Middleware 2021 - Proceedings of the 22nd International Middleware Conference, p. 365-378
Paper in proceeding
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2021

Benefits of small-size communities for continuous cost-optimization in peer-to-peer energy sharing

Romaric Duvignau, Verena Heinisch, Lisa Göransson et al
Applied Energy. Vol. 301
Journal article
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2020
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Ananke: A Streaming Framework for Live Forward Provenance

Dimitrios Palyvos-Giannas, Bastian Havers, Marina Papatriantafilou et al
Proceedings of the VLDB Endowment. Vol. 14 (3), p. 391-403
Journal article
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2020
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Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing

Romaric Duvignau, Verena Heinisch, Lisa Göransson et al
e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems, p. 35-46
Paper in proceeding
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2020

BES: Differentially Private Event Aggregation for large-scale IoT-based Systems

Valentin Tudor, Vincenzo Massimiliano Gulisano, Magnus Almgren et al
Future Generation Computer Systems. Vol. 108, p. 1241-1257
Journal article
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2020
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TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation

Joris Van Rooij, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
DEBS 2020 - Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems, p. 141-152
Paper in proceeding
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2020
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DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks

Bastian Havers, Romaric Duvignau, Hannaneh Najdataei et al
Future Generation Computer Systems. Vol. 107, p. 1-17
Journal article
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2020
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Intrusion Detection in Industrial Networks via Data Streaming

Ismail Butun, Magnus Almgren, Vincenzo Massimiliano Gulisano et al
Industrial IoT: Challenges, Design Principles, Applications, and Security, p. 213-238
Book chapter
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2020
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PARMA-CC: Parallel Multiphase Approximate Cluster Combining

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
ACM International Conference Proceeding Series. Vol. Part F165625
Paper in proceeding
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2020
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The DEBS 2020 grand challenge

Vincenzo Massimiliano Gulisano, Daniel Jorde, Ruben Mayer et al
DEBS 2020 - Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems, p. 183-186
Paper in proceeding
2019
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Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures

Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Massimiliano Gulisano et al
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. Vol. 2019-September, p. 993-1000
Paper in proceeding
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2019

Streaming Piecewise Linear Approximation for Efficient Data Management in Edge Computing

Romaric Duvignau, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Proceedings of the ACM Symposium on Applied Computing. Vol. Part F147772, p. 593-596
Paper in proceeding
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2019

Demo Abstract: Haren: A Middleware for Ad-Hoc Thread Scheduling Policies in Data Streaming

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Middleware Demos and Posters 2019 - Proceedings of the 2019 20th International Middleware Conference Demos and Posters, Part of Middleware 2019, p. 19-20
Paper in proceeding
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2019

The DEBS 2019 grand challenge

Oleh Bodunov, Vincenzo Massimiliano Gulisano, Hannaneh Najdataei et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 205-208
Paper in proceeding
2019
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Stream-IT: Continuous and dynamic processing of production systems data - Throughput bottlenecks as a case-study

Hannaneh Najdataei, Mukund Subramaniyan, Vincenzo Massimiliano Gulisano et al
IEEE International Symposium on Industrial Electronics. Vol. 2019-June, p. 1328-1333
Paper in proceeding
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2019

Mimir - Streaming operators classification with artificial neural networks

Victor Gustafsson, Hampus Nilsson, Karl Bäckström et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 258-259
Paper in proceeding
2019

STRETCH: Scalable and elastic deterministic streaming analysis with virtual shared-nothing parallelism

Hannaneh Najdataei, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 7-18
Paper in proceeding
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2019

Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Time?

Romaric Duvignau, Bastian Havers, Vincenzo Massimiliano Gulisano et al
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference - ITSC 2019, p. 2604-2611
Paper in proceeding
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2019

GeneaLog: Fine-grained data streaming provenance in cyber-physical systems

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Parallel Computing. Vol. 89
Journal article
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2019

Time-SWAD: A dataflow engine for time-based single window stream aggregation

Prajith Ramakrishnan Geethakumari, Vincenzo Massimiliano Gulisano, Pedro Petersen Moura Trancoso et al
Proceedings - 2019 International Conference on Field-Programmable Technology, ICFPT 2019. Vol. 2019-December, p. 72-80
Paper in proceeding
2019

DRIVEN: a Framework for Efficient Data Retrieval and Clustering in Vehicular Networks

Bastian Havers, Romaric Duvignau, Hannaneh Najdataei et al
Proceedings - International Conference on Data Engineering. Vol. 2019-April, p. 1850-1861
Paper in proceeding
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2019
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MAD-C: Multi-stage Approximate Distributed Cluster-Combining for Obstacle Detection and Localization

Amir Keramatian, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11339 LNCS, p. 312-324
Paper in proceeding
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2019
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Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 19-30
Paper in proceeding
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2019

Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents

Luca Bortolussi, Vincenzo Massimiliano Gulisano, Eric Medvet et al
M4IoT 2019 - Proceedings of the 2019 Workshop on Middleware and Applications for the Internet of Things, Part of Middleware 2019 Conference, p. 7-12
Paper in proceeding
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2018
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GeneaLog: Fine-Grained Data Streaming Provenance at the Edge

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Middleware '18 Proceedings of the 19th International Middleware Conference, p. 227-238
Paper in proceeding
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2018
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LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing

Joris Van Rooij, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
DEBS 2018 - Proceedings of the 12th ACM International Conference on Distributed and Event-Based Systems, p. 171-182
Paper in proceeding
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2018

Viper: Communication-layer determinism and scaling in low-latency stream processing

Ivan Walulya, Ioannis Nikolakopoulos, Vincenzo Massimiliano Gulisano et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10659 LNCS, p. 129-140
Paper in proceeding
2018

The DEBS 2018 Grand Challenge

Zbigniew Jerzak, Pavel Smirnov, Martin Strohbach et al
Proceedings of the ACM Conference on Computer and Communications Security, p. 191-194
Paper in proceeding
2018
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eChIDNA: Continuous Data Validation in Advanced Metering Infrastructures

Joris Van Rooij, Johan Swetzén, Vincenzo Massimiliano Gulisano et al
2018 IEEE International Energy Conference (ENERGYCON), p. 1-6
Paper in proceeding
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2018

Service Level Agreements for Safe and Configurable Production Environments

Lorenzo Corneo, Richard Hawkins, Mohammad Ashjaei et al
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. Vol. 2018-September
Paper in proceeding
2018

Viper: A module for communication-layer determinism and scaling in low-latency stream processing

Ivan Walulya, Dimitrios Palyvos-Giannas, Ioannis Nikolakopoulos et al
Future Generation Computer Systems. Vol. 88, p. 297-308
Journal article
2018

Continuous and parallel LiDAR point-cloud clustering

Hannaneh Najdataei, Ioannis Nikolakopoulos, Vincenzo Massimiliano Gulisano et al
Proceedings - International Conference on Distributed Computing Systems. Vol. 2018-July, p. 671-684
Paper in proceeding
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2017

Performance modeling of stream joins

Vincenzo Massimiliano Gulisano, A.V. Papadopoulos, Ioannis Nikolakopoulos et al
DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems, p. 191-202
Paper in proceeding
2017

Single Window Stream Aggregation using Reconfigurable Hardware

Prajith Ramakrishnan Geethakumari, Vincenzo Massimiliano Gulisano, Joel Bo Svensson et al
2017 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE TECHNOLOGY (ICFPT). Vol. 2018-January, p. 112-119
Paper in proceeding
2017

The DEBS 2017 grand challenge

Vincenzo Massimiliano Gulisano, Zbigniew Jerzak, R. Katerinenko et al
DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems, p. 271-273
Paper in proceeding
2017

Efficient Data Streaming Multiway Aggregation through Concurrent Algorithmic Designs and New Abstract Data Types

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Daniel Cederman et al
ACM Transactions on Parallel Computing. Vol. 4 (2)
Journal article
2017

Maximizing determinism in stream processing under latency constraints

N. Zacheilas, V. Kalogeraki, Ioannis Nikolakopoulos et al
DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems, p. 112-123
Paper in proceeding
2016

Detecting Non-Technical Energy Losses through Structural Periodic Patterns in AMI data

Viktor Botev, Magnus Almgren, Vincenzo Massimiliano Gulisano et al
BDSG/BigData: Proceedings of the Workshop on Big Data in Smart Grids at the IEEE International Conference on BigData, p. 3121-3130
Paper in proceeding
2016

The DEBS 2016 grand challenge

Vincenzo Massimiliano Gulisano, Zbigniew Jerzak, Spyros Voulgaris et al
DEBS 2016 - Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems. United States; 20-24 June 2016, p. 289-292
Paper in proceeding
2016

Understanding the data-processing challenges in Intelligent Vehicular Systems

Stefania Costache, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
IEEE Intelligent Vehicles Symposium, Proceedings. Vol. 2016-August, p. 611-618
Paper in proceeding
2016

BES - Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures

Vincenzo Massimiliano Gulisano, Valentin Tudor, Magnus Almgren et al
2nd ACM Cyber-Physical System Security Workshop (CPSS 2016), p. 59-69
Paper in proceeding
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2016

Highly concurrent stream synchronization in many-core embedded systems

Ioannis Nikolakopoulos, Marina Papatriantafilou, P. Brauer et al
4th ACM International Workshop on Many-Core Embedded Systems, MES 2016; Seoul; South Korea; (ACM International Conference Proceeding Series, vol 18). Vol. 18-22-June-2016, p. 2-9
Paper in proceeding
2015

Online and scalable data validation in advanced metering infrastructures

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
IEEE PES Innovative Smart Grid Technologies Conference Europe; 12-15 Oct. 2014 Istanbul. Vol. 2015-January (January)
Paper in proceeding
2015

ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
Eight Swedish Workshop on Multi-Core Computing (MCC) Copenhagen, November 25-26, 2015
Paper in proceeding
2015

ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
IEEE International Conference on Big Data (IEEE Big Data 2015), p. 144 - 153
Paper in proceeding
2015

Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9295, p. 242-260
Paper in proceeding
2015

STONE: A streaming DDoS defense framework

Vincenzo Massimiliano Gulisano, Mar Callau-Zori, Zhang Fu et al
Expert Systems with Applications. Vol. 42 (24), p. 9620-9633
Journal article
2015

Deterministic Real-Time Analytics of Geospatial Data Streams through ScaleGate Objects

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Ivan Walulya et al
DEBS 2015 - Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems
Paper in proceeding
2015

METIS: a Two-Tier Intrusion Detection System for Advanced Metering Infrastructures

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering. Vol. 153, p. 51-68
Paper in proceeding
2015

Detection of intrusions and malware, and vulnerability assessment

Magnus Almgren, Vincenzo Massimiliano Gulisano, F. Maggi
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9148
Paper in proceeding
2014

T-Fuzz: Model-based fuzzing for robustness testing of telecommunication protocols

W. Johansson, M.A. Svensson, Ulf Larson et al
Proceedings - IEEE 7th International Conference on Software Testing, Verification and Validation, ICST 2014, p. 323-332
Paper in proceeding
2014

Cybersecurity and Data Management in the Smart Grid

Magnus Almgren, Zhang Fu, Vincenzo Massimiliano Gulisano et al
Chalmers Initiative Seminar on Big Data
Conference poster
2014

Brief announcement: Concurrent data structures for efficient streaming aggregation

Daniel Cederman, Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos et al
Annual ACM Symposium on Parallelism in Algorithms and Architectures, p. 76-78
Paper in proceeding
2014

METIS: A two-tier intrusion detection system for advanced metering infrastructures

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
e-Energy 2014 - Proceedings of the 5th ACM International Conference on Future Energy Systems, p. 211-212
Paper in proceeding
2014

When Smart Cities meet Big Data

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
ERCIM news. Vol. 98
Magazine article
2014

ScaleJoin: a deterministic, disjoint-parallel and skew-resilient stream join enabled by concurrent data structures

Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos, Marina Papatriantafilou et al
Report
2013

Concurrent Data Structures for Efficient Streaming Aggregation

Daniel Cederman, Vincenzo Massimiliano Gulisano, Ioannis Nikolakopoulos et al
Report
2013

STONE: A stream-based DDoS defense framework

Mar Callau-Zori, Vincenzo Massimiliano Gulisano, Zhang Fu et al
Proceedings of the ACM Symposium on Applied Computing, SAC 2013; Coimbra; Portugal; 18 March 2013 through 22 March 2013, p. 807-812
Paper in proceeding
2013

Algorithms and Data Handling Towards Adaptive and Robust Electricity Networks

Magnus Almgren, Daniel Cederman, Zhang Fu et al
Chalmers Energy Conference 2013
Conference poster
2013

Cybersecurity in the Smart Grid

Magnus Almgren, Zhang Fu, Vincenzo Massimiliano Gulisano et al
Chalmers Energy Conference 2013
Conference poster

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Showing 18 research projects

2024–2025

WASP-WISE STRATIFIER

Lars Nyborg Materials and manufacture
Eduard Hryha Materials and manufacture
Erik Sievers Network and Systems
Vincenzo Massimiliano Gulisano Network and Systems
Marina Papatriantafilou Network and Systems
Wallenberg AI, Autonomous Systems and Software Program
Wallenberg Initiative Materials Science for Sustainability

2023–2027

EU MSCA Doctoral Network RELAX-DN: Relaxed Semantics Across the Data Analytics Stack

Philippas Tsigas Network and Systems
Jacqueline Plette Extern samverkan, forsknings- och innovationsstöd
Vinh Quang Ngo Network and Systems
Jacob Garby Network and Systems
Marina Papatriantafilou Network and Systems
Vincenzo Massimiliano Gulisano Network and Systems
Jingyu Liu Network and Systems
European Commission (EC)

2 publications exist
2022–2026

SESBC TANDEM: InTelligent Energy DAta MaNagement and Online DEcision Making

Vincenzo Massimiliano Gulisano Network and Systems
Marina Papatriantafilou Network and Systems
Romaric Duvignau Network and Systems
Swedish Energy Agency

2 publications exist
2020–2023

AUTOSPADA (Automotive Stream Processing and Distributed Analytics) OODIDA Phase 2

Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Marina Papatriantafilou Network and Systems
Romaric Duvignau Network and Systems
Elad Schiller Network and Systems
VINNOVA

15 publications exist
2020–

INDEED: Information and Data-processing in Focus for Energy Efficiency

Marina Papatriantafilou Networks and Systems (Chalmers)
Romaric Duvignau Networks and Systems (Chalmers)
Magnus Almgren Networks and Systems (Chalmers)
Philippas Tsigas Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Chalmers

8 publications exist
2020–

Scalability and quality control in AM - Big Data and ML in Production

Marina Papatriantafilou Network and Systems
Philippas Tsigas Network and Systems
Vincenzo Massimiliano Gulisano Network and Systems
Lars Nyborg Materials and manufacture
Eduard Hryha Materials and manufacture
Erik Sievers Network and Systems
Zhuoer Chen Materials and manufacture
Claudia de Andrade Schwerz Materials and manufacture
Chalmers

2019–2020

ADAPT: Adaptive DigitAl Power sysTems

Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Marina Papatriantafilou Networks and Systems (Chalmers)
Lisa Göransson Energy Technology 2
Chalmers

2 publications exist
2018–2023

WASP SAS: Structuring data for continuous processing and ML systems

Marina Papatriantafilou Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Karl Bäckström Networks and Systems (Chalmers)
Philippas Tsigas Networks and Systems (Chalmers)
Wallenberg AI, Autonomous Systems and Software Program

11 publications exist
2017–2021

Integrated cyber-physical solutions for intelligent distribution grid with high penetration of renewables (UNITED-GRID)

Anh Tuan Le Electric Power Engineering
Jacqueline Plette Chalmers, Research support
Magnus Almgren Networks and Systems (Chalmers)
Ankur Srivastava Electric Power Engineering
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
David Steen Electric Power Engineering
Ioannis Bouloumpasis Power grids and Components
Marina Papatriantafilou Networks and Systems (Chalmers)
Ismail Butun Networks and Systems (Chalmers)
European Commission (EC)

38 publications exist
2017–2021

STAMINA - GE

Marina Papatriantafilou Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Magnus Almgren Networks and Systems (Chalmers)
Philippas Tsigas Networks and Systems (Chalmers)
Göteborg Energi, Foundation for Research and Developmen

10 publications exist
2017–2020

HARE: Self-deploying and Adaptive Data Streaming Analytics in Fog Architectures

Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Swedish Research Council (VR)

21 publications exist
2017–2019

MAKING CITIES MORE SUSTAINABLE: USING BIG AND CONTINUOUS DATA TO UNDERSTAND URBAN MOBILITY AND CONGESTIONS

Sonia Yeh Physical Resource Theory
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Marina Papatriantafilou Networks and Systems (Chalmers)
Formas

1 publication exists
2016–2019

BADA - On-board Off-board Distributed Data Analytics

Bastian Havers Networks and Systems (Chalmers)
Marina Papatriantafilou Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Romaric Duvignau Networks and Systems (Chalmers)
VINNOVA

7 publications exist
2016–2020

STAMINA - WASP

Marina Papatriantafilou Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Joris Van Rooij Networks and Systems (Chalmers)
Wallenberg AI, Autonomous Systems and Software Program

5 publications exist
2016–2021

Future factories in the Cloud (FiC)

Marina Papatriantafilou Networks and Systems (Chalmers)
Philippas Tsigas Networks and Systems (Chalmers)
Ioannis Nikolakopoulos Networks and Systems (Chalmers)
Amir Keramatian Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Hannaneh Najdataei Networks and Systems (Chalmers)
Ivan Walulya Networks and Systems (Chalmers)
Swedish Foundation for Strategic Research (SSF)

34 publications exist
2015–2016

Examine –Extracting useful information out of data in AMI networking

Marina Papatriantafilou Networks and Systems (Chalmers)
Magnus Almgren Networks and Systems (Chalmers)
Olaf Landsiedel Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Zhang Fu Networks and Systems (Chalmers)
Viktor Botev Networks and Systems (Chalmers)
Göteborg Energi, Foundation for Research and Developmen

2012–2014

Algorithms for adaptiveness and robustness in electricity networks

Olaf Landsiedel Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Marina Papatriantafilou Networks and Systems (Chalmers)
Magnus Almgren Networks and Systems (Chalmers)
Zhang Fu Networks and Systems (Chalmers)
Göteborg Energi AB

2012–2015

CRitical Infrastructure Security AnaLysIS (CRISALIS)

Zhang Fu Networks and Systems (Chalmers)
Magnus Almgren Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Valentin Tudor Networks and Systems (Chalmers)
Marina Papatriantafilou Networks and Systems (Chalmers)
European Commission (EC)

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