Vincenzo Gulisano

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I am an Associate Professor at the Distributed Computing and Systems Group at Chalmers University of Technology. My research focuses on scalable data stream processing and its applications in context such as Smart Grids and Advanced Metering Infrastructures (for Intrusion Detection, Interaction Modeling and Data Validation), among others. During my Ph.D. I was involved in the design and development of StreamCloud: a pioneer parallel-distributed and elastic Stream Processing Engine. My research focused on streaming operators' parallelization, load balancing, provisioning/decommissioning and fault tolerance protocol

data streaming big data apache flink apache storm scalegate parallel stream joins lock-free research iot fog architectures spe fine-grained synchronization parallel stream aggregates stream processing engine parallel stream join scalejoin streaming aggregation sliding windows spark apache spark teaching autonomous agents distributed systems edge computing parallel analysis determinism cyber-physical systems formal methods spatio-temporal logics

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Vincenzo Gulisano

Presentations

The benefits of fine-grained synchronization in deterministic and efficient stream processing

ScaleJoin: a Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join

Data Streaming (in a Nutshell) ... and Spark's window operations

The data streaming paradigm and its use in Fog architectures

Data Streaming in IoT and Big Data Analytics

Data Streaming in Big Data Analysis

Performance Modeling of Stream Joins

The data streaming processing paradigm and its use in modern fog architectures

Strel streaming

Crash course on data streaming (with examples using Apache Flink)

Tutorial: The Role of Event-Time Analysis Order in Data Streaming