Vincenzo Massimiliano Gulisano
Showing 74 publications
PARMA-CC: A Family of Parallel Multiphase Approximate Cluster Combining Algorithms
Cost-Optimization for Win-Win P2P Energy Systems
Proposing a framework for evaluating learning strategies in vehicular CPSs
Towards data-driven additive manufacturing processes
Efficient and scalable geographical peer matching for P2P energy sharing communities
Research Summary: Deterministic, Explainable and Efficient Stream Processing
IP. LSH. DBSCAN : Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing
pi-Lisco: parallel and incremental stream-based point-cloud clustering
Erebus: Explaining the Outputs of Data Streaming Queries
Motivations and challenges for stream processing in edge computing
MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization
Poster: Twins, a Middleware for Adaptive Streaming Provenance at the Edge
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join
Lachesis: A Middleware for Customizing OS Scheduling of Stream Processing Queries
Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge
Benefits of small-size communities for continuous cost-optimization in peer-to-peer energy sharing
Ananke: A Streaming Framework for Live Forward Provenance
DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks
Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing
BES: Differentially Private Event Aggregation for large-scale IoT-based Systems
Intrusion Detection in Industrial Networks via Data Streaming
TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation
PARMA-CC: Parallel Multiphase Approximate Cluster Combining
MAD-C: Multi-stage Approximate Distributed Cluster-Combining for Obstacle Detection and Localization
Demo Abstract: Haren: A Middleware for Ad-Hoc Thread Scheduling Policies in Data Streaming
Mimir - Streaming operators classification with artificial neural networks
Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures
Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Time?
GeneaLog: Fine-grained data streaming provenance in cyber-physical systems
Streaming Piecewise Linear Approximation for Efficient Data Management in Edge Computing
Time-SWAD: A dataflow engine for time-based single window stream aggregation
DRIVEN: a Framework for Efficient Data Retrieval and Clustering in Vehicular Networks
Haren: A Framework for Ad-Hoc Thread Scheduling Policies for Data Streaming Applications
GeneaLog: Fine-Grained Data Streaming Provenance at the Edge
LoCoVolt: Distributed Detection of Broken Meters in Smart Grids through Stream Processing
Viper: A module for communication-layer determinism and scaling in low-latency stream processing
Continuous and parallel LiDAR point-cloud clustering
eChIDNA: Continuous Data Validation in Advanced Metering Infrastructures
Service Level Agreements for Safe and Configurable Production Environments
Viper: Communication-layer determinism and scaling in low-latency stream processing
Single Window Stream Aggregation using Reconfigurable Hardware
Performance modeling of stream joins
Maximizing determinism in stream processing under latency constraints
Highly concurrent stream synchronization in many-core embedded systems
Understanding the data-processing challenges in Intelligent Vehicular Systems
BES - Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures
Detecting Non-Technical Energy Losses through Structural Periodic Patterns in AMI data
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join
Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges
STONE: A streaming DDoS defense framework
Deterministic Real-Time Analytics of Geospatial Data Streams through ScaleGate Objects
METIS: a Two-Tier Intrusion Detection System for Advanced Metering Infrastructures
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join
Online and scalable data validation in advanced metering infrastructures
Detection of intrusions and malware, and vulnerability assessment
Cybersecurity and Data Management in the Smart Grid
METIS: A two-tier intrusion detection system for advanced metering infrastructures
When Smart Cities meet Big Data
T-Fuzz: Model-based fuzzing for robustness testing of telecommunication protocols
Brief announcement: Concurrent data structures for efficient streaming aggregation
STONE: A stream-based DDoS defense framework
Concurrent Data Structures for Efficient Streaming Aggregation
Algorithms and Data Handling Towards Adaptive and Robust Electricity Networks
Cybersecurity in the Smart Grid
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Showing 16 research projects
TANDEM: InTelligent Energy DAta MaNagement and Online DEcision Making
AUTOSPADA (Automotive Stream Processing and Distributed Analytics) OODIDA Phase 2
INDEED: Information and Data-processing in Focus for Energy Efficiency
Scalability and quality control in AM - Big Data and ML in Production
ADAPT: Adaptive DigitAl Power sysTems
WASP SAS: Structuring data for continuous processing and ML systems
HARE: Self-deploying and Adaptive Data Streaming Analytics in Fog Architectures
BADA - On-board Off-board Distributed Data Analytics
Future factories in the Cloud (FiC)
Examine –Extracting useful information out of data in AMI networking
Algorithms for adaptiveness and robustness in electricity networks
CRitical Infrastructure Security AnaLysIS (CRISALIS)