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

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Vincenzo Gulisano

Präsentationen

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