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Vincenzo Massimiliano Gulisano

Docent, 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

2021
Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge

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

Publiceringsår: 2021

Publicerat i: IEEE Access

Publikationstyp: Artikel i vetenskaplig tidskrift
Benefits of small-size communities for continuous cost-optimization in peer-to-peer energy sharing

Författare: Romaric Duvignau; Verena Heinisch; Lisa Göransson; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2021

Publicerat i: Applied Energy

Publikationstyp: Artikel i vetenskaplig tidskrift
Motivations and challenges for stream processing in edge computing

Författare: Vincenzo Massimiliano Gulisano

Publiceringsår: 2021

Publicerat i: ICPE 2021 - Companion of the ACM/SPEC International Conference on Performance Engineering

Publikationstyp: Paper i proceeding
Poster: Twins, a Middleware for Adaptive Streaming Provenance at the Edge

Författare: Mikael Gordani Shahri; Andréas Erlandsson; Dimitrios Palyvos-Giannas; Vincenzo Massimiliano Gulisano

Publiceringsår: 2021

Publicerat i: ACM International Conference Proceeding Series

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

Publiceringsår: 2021

Publicerat i: Journal of Parallel and Distributed Computing

Publikationstyp: Artikel i vetenskaplig tidskrift
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join

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

Publiceringsår: 2021

Publicerat i: IEEE Transactions on Big Data

Publikationstyp: Artikel i vetenskaplig tidskrift
2020
Ananke: A Streaming Framework for Live Forward Provenance

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

Publiceringsår: 2020

Publicerat i: Proceedings of the VLDB Endowment

Publikationstyp: Artikel i vetenskaplig tidskrift
TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation

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

Publiceringsår: 2020

Publicerat i: DEBS 2020 - Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems

Publikationstyp: Paper i proceeding
Intrusion Detection in Industrial Networks via Data Streaming

Författare: Ismail Butun; Magnus Almgren; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2020

Publicerat i: Industrial IoT: Challenges, Design Principles, Applications, and Security

Publikationstyp: Kapitel i bok
The DEBS 2020 grand challenge

Författare: Vincenzo Massimiliano Gulisano; Daniel Jorde; Ruben Mayer; Hannaneh Najdataei; Dimitrios Palyvos-Giannas

Publiceringsår: 2020

Publicerat i: DEBS 2020 - Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems

Publikationstyp: Paper i proceeding
Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing

Författare: Romaric Duvignau; Verena Heinisch; Lisa Göransson; Vincenzo Massimiliano Gulisano; Marina Papatriantafilou

Publiceringsår: 2020

Publicerat i: e-Energy '20: Proceedings of the Eleventh ACM International Conference on Future Energy Systems

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 Chaitanya Koppisetty

Publiceringsår: 2020

Publicerat i: Future Generation Computer Systems

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

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

Publiceringsår: 2020

Publicerat i: ICDCN 2020: Proceedings of the 21st International Conference on Distributed Computing and Networking

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: 2020

Publicerat i: Future Generation Computer Systems

Publikationstyp: Artikel i vetenskaplig tidskrift
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: Proceedings of the 6th International Workshop on Middleware and Applications for the Internet of Things

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: Proceedings of the 20th International Middleware Conference Demos and Posters

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: Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference - ITSC 2019

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
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
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: Lecture Notes in Computer Science

Publikationstyp: Paper i proceeding

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Sidansvarig Publicerad: on 17 jun 2020.

Vincenzo Massimiliano Gulisano

Senaste publikationer

2021

2020

2019

Projekt

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