Analysis and performance evaluation of deep learning on big data
KJ Matteussi, BF Zanchetta… - … IEEE Symposium on …, 2019 - ieeexplore.ieee.org
Deep Learning (DL) and Big Data (BD) have converged to a hybrid computing paradigm that
merges the dynamic processing in DL models with the computational power of the …
merges the dynamic processing in DL models with the computational power of the …
A throughput model for data stream processing on fog computing
FR de Souza, MD de Assunçao… - … conference on high …, 2019 - ieeexplore.ieee.org
Today's society faces an unprecedented deluge of data that requires processing and
analysis. Data Stream Processing (DSP) applications are often employed to extract valuable …
analysis. Data Stream Processing (DSP) applications are often employed to extract valuable …
[PDF][PDF] 1. Background and Current Work Society is increasingly instrumented with sensors integrated to mobile phones, IoT, and in sys-tems for monitoring operational …
ADAS VEITH - aveith.github.io
Initially, I investigated real-life architectures for DSP systems to understand the issues
related to the operator placement problem. I focused on Lambda Architecture in big data …
related to the operator placement problem. I focused on Lambda Architecture in big data …