Vincenzo Massimiliano Gulisano

Docent vid Nätverk och system

More details on personal website vincenzogulisano.com

Källa: chalmers.se

Visar 53 publikationer

2020

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
Artikel i vetenskaplig tidskrift
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 (July), p. 1241-1257
Artikel i vetenskaplig tidskrift
2020

PARMA-CC: Parallel Multiphase Approximate Cluster Combining

Vincenzo Massimiliano Gulisano, Marina Papatriantafilou, Philippas Tsigas
Paper i 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 i proceeding
2019

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. Vol. 11339, p. 312-324
Paper i proceeding
2019

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

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

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 i proceeding
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 i proceeding
2019

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 i proceeding
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 i proceeding
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
Proceedings of the 6th International Workshop on Middleware and Applications for the Internet of Things , p. 7-12
Paper i proceeding
2019

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

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Parallel Computing. Vol. 89
Artikel i vetenskaplig tidskrift
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 i proceeding
2019

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

Bastian Havers, Romaric Duvignau, Hannaneh Najdataei et al
Proceedings of the 2019 IEEE 35th International Conference on Data Engineering (ICDE), p. 1850-1861
Paper i proceeding
2019

Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications

Dimitrios Palyvos-Giannas, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems , p. 19-30
Paper i proceeding
2018

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 i 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 i proceeding
2018

LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing

Joris Van Rooij, Vincenzo Massimiliano Gulisano, Marina Papatriantafilou
DEBS '18 Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, p. 171-182
Paper i 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
Artikel i vetenskaplig tidskrift
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 i proceeding
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
Paper i proceeding
2018

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 i proceeding
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, p. 129-140
Paper i proceeding
2018

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), p. 112-119
Paper i proceeding
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 i proceeding
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 i 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 i 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)
Artikel i vetenskaplig tidskrift
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 i proceeding
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), p. 2-9
Paper i 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 i 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 i proceeding
2016

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. PP (99)
Artikel i vetenskaplig tidskrift
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 i 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 i 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 i 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
Artikel i vetenskaplig tidskrift
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 i proceeding
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 i 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 i 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 i 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 i 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
Poster (konferens)
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
Rapport
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 i proceeding
2014

When Smart Cities meet Big Data

Vincenzo Massimiliano Gulisano, Magnus Almgren, Marina Papatriantafilou
ERCIM news n. 98
Artikel i övriga tidskrifter
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 i proceeding
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 i proceeding
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 i proceeding
2013

Concurrent Data Structures for Efficient Streaming Aggregation

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

Algorithms and Data Handling Towards Adaptive and Robust Electricity Networks

Magnus Almgren, Daniel Cederman, Zhang Fu et al
Chalmers Energy Conference 2013
Poster (konferens)
2013

Cybersecurity in the Smart Grid

Magnus Almgren, Zhang Fu, Vincenzo Massimiliano Gulisano et al
Chalmers Energy Conference 2013
Poster (konferens)

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Visar 1 forskningsprojekt

2012–2015

CRitical Infrastructure Security AnaLysIS (CRISALIS)

Marina Papatriantafilou Nätverk och system
Valentin Tudor Nätverk och system
Zhang Fu Nätverk och system
Magnus Almgren Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Europeiska kommissionen (FP7)

Det kan finnas fler projekt där Vincenzo Massimiliano Gulisano medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.