Personal

Vincenzo Massimiliano Gulisano

Forskarassistent, Nätverk och system, Data- och informationsteknik.

vincenzo.gulisano@chalmers.se +46317726147 Hitta till mig http://orcid.org/0000-0002-2136-9179

More details on personal website vincenzogulisano.com

Publikationer
Samverkan och projekt

Senaste publikationer

2020
DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks

Författare: Bastian Havers; Romaric Duvignau; Hannaneh Najdataei; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou; Ashok Chaitanya Koppisetty

Publiceringsår: 2020

Publicerat i: Future Generation Computer Systems

Publikationstyp: Artikel i vetenskaplig tidskrift
PARMA-CC: Parallel Multiphase Approximate Cluster Combining

Författare: Vincenzo Massimiliano Gulisano; Marina Papatriantafilou; Philippas Tsigas

Publiceringsår: 2020

Publicerat i:

Publikationstyp: Paper i proceeding
2019
Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents

Författare: Luca Bortolussi; Vincenzo Massimiliano Gulisano; Eric Medvet; Dimitrios Palyvos-Giannas

Publiceringsår: 2019

Publicerat i:

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

Författare: Dimitrios Palyvos-Giannas; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2019

Publicerat i:

Publikationstyp: Paper i proceeding
GeneaLog: Fine-grained data streaming provenance in cyber-physical systems

Författare: Dimitrios Palyvos-Giannas; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2019

Publicerat i: Parallel Computing

Publikationstyp: Artikel i vetenskaplig tidskrift
Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Time?

Författare: Romaric Duvignau; Bastian Havers; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2019

Publicerat i:

Publikationstyp: Paper i proceeding
The DEBS 2019 grand challenge

Författare: Oleh Bodunov; Vincenzo Massimiliano Gulisano; Hannaneh Najdataei; Zbigniew Jerzak; André Martin; Pavel Smirnov; M. Strohbach; Holger Ziekow

Publiceringsår: 2019

Publicerat i: DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems

Publikationstyp: Paper i proceeding
STRETCH: Scalable and elastic deterministic streaming analysis with virtual shared-nothing parallelism

Författare: Hannaneh Najdataei; Ioannis Nikolakopoulos; Marina Papatriantafilou; Philippas Tsigas; Vincenzo Massimiliano Gulisano

Publiceringsår: 2019

Publicerat i: DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems

Publikationstyp: Paper i proceeding
Mimir - Streaming operators classification with artificial neural networks

Författare: Victor Gustafsson; Hampus Nilsson; Karl Bäckström; Marina Papatriantafilou; Vincenzo Massimiliano Gulisano

Publiceringsår: 2019

Publicerat i: DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems

Publikationstyp: Paper i proceeding
Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures

Författare: Hannaneh Najdataei; Mukund Subramaniyan; Vincenzo Massimiliano Gulisano; Anders Skoogh; Marina Papatriantafilou

Publiceringsår: 2019

Publicerat i: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Publikationstyp: Paper i proceeding
Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications

Författare: Dimitrios Palyvos-Giannas; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2019

Publicerat i:

Publikationstyp: Paper i proceeding
Stream-IT: Continuous and dynamic processing of production systems data - Throughput bottlenecks as a case-study

Författare: Hannaneh Najdataei; Mukund Subramaniyan; Vincenzo Massimiliano Gulisano; Anders Skoogh; Marina Papatriantafilou

Publiceringsår: 2019

Publicerat i: IEEE International Symposium on Industrial Electronics

Publikationstyp: Paper i proceeding
Streaming Piecewise Linear Approximation for Efficient Data Management in Edge Computing

Författare: Romaric Duvignau; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou; Vladimir Savic

Publiceringsår: 2019

Publicerat i: Proceedings of the ACM Symposium on Applied Computing

Publikationstyp: Paper i proceeding
DRIVEN: a Framework for Efficient Data Retrieval and Clustering in Vehicular Networks

Författare: Bastian Havers; Romaric Duvignau; Hannaneh Najdataei; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou; Ashok Krishna Chaitanya Koppisetty

Publiceringsår: 2019

Publicerat i:

Publikationstyp: Paper i proceeding
MAD-C: Multi-stage Approximate Distributed Cluster-Combining for Obstacle Detection and Localization

Författare: Amir Keramatian; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou; Philippas Tsigas; Ioannis Nikolakopoulos

Publiceringsår: 2019

Publicerat i:

Publikationstyp: Paper i proceeding
2018
The DEBS 2018 Grand Challenge

Författare: Zbigniew Jerzak; Pavel Smirnov; Martin Strohbach; Vincenzo Massimiliano Gulisano; Holger Ziekow; Dimitris Zissis

Publiceringsår: 2018

Publicerat i: Proceedings of the ACM Conference on Computer and Communications Security

Publikationstyp: Paper i proceeding
Service Level Agreements for Safe and Configurable Production Environments

Författare: Lorenzo Corneo; Richard Hawkins; Mohammad Ashjaei; Omar Jaradat; Kester Clegg; Vincenzo Massimiliano Gulisano; Yiannis Nikolakopoulos

Publiceringsår: 2018

Publicerat i:

Publikationstyp: Paper i proceeding
GeneaLog: Fine-Grained Data Streaming Provenance at the Edge

Författare: Dimitrios Palyvos-Giannas; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2018

Publicerat i:

Publikationstyp: Paper i proceeding
LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing

Författare: Joris Van Rooij; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2018

Publicerat i:

Publikationstyp: Paper i proceeding
Continuous and parallel LiDAR point-cloud clustering

Författare: Hannaneh Najdataei; Ioannis Nikolakopoulos; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2018

Publicerat i:

Publikationstyp: Paper i proceeding
eChIDNA: Continuous Data Validation in Advanced Metering Infrastructures

Författare: Joris Van Rooij; Johan Swetzén; Vincenzo Massimiliano Gulisano; Magnus Almgren; Marina Papatriantafilou

Publiceringsår: 2018

Publicerat i:

Publikationstyp: Paper i proceeding
BES: Differentially Private Event Aggregation for large-scale IoT-based Systems.

Författare: Valentin Tudor; Vincenzo Massimiliano Gulisano; Magnus Almgren; Marina Papatriantafilou

Publiceringsår: 2018

Publicerat i: Future Generation Computer Systems

Publikationstyp: Artikel i vetenskaplig tidskrift
Viper: A module for communication-layer determinism and scaling in low-latency stream processing

Författare: Ivan Walulya; Dimitrios Palyvos-Giannas; Ioannis Nikolakopoulos; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou; Philippas Tsigas

Publiceringsår: 2018

Publicerat i: Future Generation Computer Systems

Publikationstyp: Artikel i vetenskaplig tidskrift
Single Window Stream Aggregation using Reconfigurable Hardware

Författare: Prajith Ramakrishnan Geethakumari; Vincenzo Massimiliano Gulisano; Joel Bo Svensson; Pedro Petersen Moura Trancoso; Ioannis Sourdis

Publiceringsår: 2018

Publicerat i:

Publikationstyp: Paper i proceeding
Viper: Communication-layer determinism and scaling in low-latency stream processing

Författare: Ivan Walulya; Ioannis Nikolakopoulos; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou; Philippas Tsigas

Publiceringsår: 2018

Publicerat i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publikationstyp: Paper i proceeding

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Publicerad: må 05 aug 2019.

Vincenzo Massimiliano Gulisano

Senaste publikationer

2020

2019

2018

Projekt

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