Vincenzo Massimiliano Gulisano
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Visar 79 publikationer
Survey: Time-Series Data Preprocessing: A Survey and an Empirical Analysis
Evolutionary Computation Meets Stream Processing
Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads
Cost-Optimization for Win-Win P2P Energy Systems
PARMA-CC: A Family of Parallel Multiphase Approximate Cluster Combining Algorithms
FORTE: an extensible framework for robustness and efficiency in data transfer pipelines
An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates
IP. LSH. DBSCAN : Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing
Efficient and scalable geographical peer matching for P2P energy sharing communities
Research Summary: Deterministic, Explainable and Efficient Stream Processing
Towards data-driven additive manufacturing processes
Proposing a framework for evaluating learning strategies in vehicular CPSs
pi-Lisco: parallel and incremental stream-based point-cloud clustering
Erebus: Explaining the Outputs of Data Streaming Queries
MAD-C: Multi-stage Approximate Distributed Cluster-combining for obstacle detection and localization
Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join
Poster: Twins, a Middleware for Adaptive Streaming Provenance at the Edge
Motivations and challenges for stream processing in edge computing
Lachesis: A Middleware for Customizing OS Scheduling of Stream Processing Queries
Benefits of small-size communities for continuous cost-optimization in peer-to-peer energy sharing
Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing
Ananke: A Streaming Framework for Live Forward Provenance
BES: Differentially Private Event Aggregation for large-scale IoT-based Systems
TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation
DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks
Intrusion Detection in Industrial Networks via Data Streaming
PARMA-CC: Parallel Multiphase Approximate Cluster Combining
Streaming Piecewise Linear Approximation for Efficient Data Management in Edge Computing
Demo Abstract: Haren: A Middleware for Ad-Hoc Thread Scheduling Policies in Data Streaming
Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures
Time-SWAD: A dataflow engine for time-based single window stream aggregation
DRIVEN: a Framework for Efficient Data Retrieval and Clustering in Vehicular Networks
Mimir - Streaming operators classification with artificial neural networks
Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Time?
MAD-C: Multi-stage Approximate Distributed Cluster-Combining for Obstacle Detection and Localization
GeneaLog: Fine-grained data streaming provenance in cyber-physical systems
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: Communication-layer determinism and scaling in low-latency stream processing
eChIDNA: Continuous Data Validation in Advanced Metering Infrastructures
Service Level Agreements for Safe and Configurable Production Environments
Viper: A module for communication-layer determinism and scaling in low-latency stream processing
Continuous and parallel LiDAR point-cloud clustering
Single Window Stream Aggregation using Reconfigurable Hardware
Performance modeling of stream joins
Maximizing determinism in stream processing under latency constraints
Understanding the data-processing challenges in Intelligent Vehicular Systems
Detecting Non-Technical Energy Losses through Structural Periodic Patterns in AMI data
Highly concurrent stream synchronization in many-core embedded systems
BES - Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join
Online and scalable data validation in advanced metering infrastructures
ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join
Data-Streaming and Concurrent Data-Object Co-design: Overview and Algorithmic Challenges
Deterministic Real-Time Analytics of Geospatial Data Streams through ScaleGate Objects
METIS: a Two-Tier Intrusion Detection System for Advanced Metering Infrastructures
Detection of intrusions and malware, and vulnerability assessment
STONE: A streaming DDoS defense framework
T-Fuzz: Model-based fuzzing for robustness testing of telecommunication protocols
Cybersecurity and Data Management in the Smart Grid
Brief announcement: Concurrent data structures for efficient streaming aggregation
METIS: A two-tier intrusion detection system for advanced metering infrastructures
When Smart Cities meet Big Data
Concurrent Data Structures for Efficient Streaming Aggregation
STONE: A stream-based DDoS defense framework
Algorithms and Data Handling Towards Adaptive and Robust Electricity Networks
Cybersecurity in the Smart Grid
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Visar 16 forskningsprojekt
TANDEM: Intelligent hantering av energidata och beslutsfattande i realtid
AutoSPADA (Automotive Stream Processing and Distributed Analytics) OODIDA Phase 2
INDEED: Information and Data-processing in Focus for Energy Efficiency
Skalbarhet och kvalitetskontroll i AM -- Big Data och ML i tillverkningsprocesser
ADAPT: Adaptive DigitAl Power sysTems
HAREN: Självdistribuerad och anpassningsbar dataströmningsanalys i dimman
BADA - On-board Off-board Distributed Data Analytics
Molnbaserade produkter och produktion (FiC)
Examine –- Extracting useful information out of data in AMI networking
Utvecklande av dataalgoritmer för nätverk för att stärka anpassningsbarhet och robusthet i elnät
CRitical Infrastructure Security AnaLysIS (CRISALIS)