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Open AccessBlock size estimation for data partitioning in HPC applications using machine learning techniques
The extensive use of HPC infrastructures and frameworks for running data-intensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, application performance ca...
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Evaluating the Performance of a Multimodal Speaker Tracking System at the Edge-to-Cloud Continuum
The edge-to-cloud compute continuum has become increasingly popular in recent years for effectively collecting and analyzing data generated by Internet of Things (IoT) devices at the network edge, ensuring low...
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Deep Learning Meets Smart Agriculture: Using LSTM Networks to Handle Anomalous and Missing Sensor Data in the Compute Continuum
In the era of the Internet of Things (IoT), conventional cloud-based solutions struggle to handle the huge amount, high velocity, and heterogeneity of data generated at the network edge. In this context, the e...
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Open AccessProgramming big data analysis: principles and solutions
In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security...
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Open AccessUsing social media for sub-event detection during disasters
Social media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters...
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Big Data Analysis on Clouds
The huge amount of data generated, the speed at which it is produced, and its heterogeneity in terms of format, represent a challenge to the current storage, process and analysis capabilities. Those data volum...