The talk is part of the Next Generation Networks session of the 2020 25th IEEE CAMAD Virtual Conference, and it aims at presenting our accepted paper titled "Data Stream Processing in Software Defined Networks: Perspectives and Challenges". This work …
In the context of 5G and Network Cloudification, latency is strongly influenced by both the data transmission delay and the time required for performing a certain computation -- the so called response time. The talk proposes the adoption of the Data …
The talk aims at introducing basic concepts related to the stream processing computational model. Some real-world use cases have been presented and the C++ WindFlow library has been proposed as a tool to implement streaming applications.
The talk proposes the adoption of Data Stream Processing frameworks (Storm, Flink, WindFlow, ...) to perform real-time processing in Cyber-Physical Social Systems (e.g. Complex Event Processing). The idea is to improve performance (bandwidth and …
Contribution to the WindFlow library, designed to perform parallel stream processing on shared-memory systems. This is a project of the Parallel Programming Models ([PPMs](http://calvados.di.unipi.it/paragroup/)) group at the Department of Computer Science, University of Pisa, Italy. My contribution mainly consists in the implementation of a benchmark composed by four real-time streaming applications in the fields of fraud detection, Internet of Things, vehicular traffic monitoring and word frequency analysis.
C++ and FastFlow implementation of the parallel scan Blelloch algorithm with a master-worker architecture schema and tests.
Exercises on MPI, TBB and OpenCL, including a C++ implementation of the Mandelbrot set computation using the Intel TBB library.
Verilog implementation of Adders, Subtractors and Multipliers.