The increasing integration of machine learning (ML) in modern software systems has lead to
new challenges as a result of the shift from human-determined behavior to data-determined …

Due to the ever increasing amount of data that is produced and captured in today's world,
the concept of big data has risen to prominence. However, implementing the respective …

Fine-granular management of cloud-native computing resources is one of the key features
sought by cloud and edge operators. It consists in giving the exact amount of computing …

This paper tackles the complex problem of optimizing resource configuration for
microservice management in heterogeneous cloud environments. To address this …

Air quality is one of the major risk factors in human health. Mobile Crowd Sensing (MCS),
which is a new paradigm based on the emerging connected micro-sensor technology, offers …

Sentiment analysis, an essential task in natural language processing, plays a pivotal role in
understanding sentiment and opinions expressed in textual data. However, with the …

Mobile crowdsensing (MCS) has emerged as a new revolutionary paradigm to collect large-
scale data by the crowd. However, there is a lack of a holistic system than can provide an …

The maturation of cloud computing and edge computing infrastructure provisioning and
management has given rise to what is termed as Cloud Edge Computing Continuum …

La qualité de l'air est l'un des principaux facteurs de risque pour la santé humaine. La
collecte participative ou Mobile Crowd Sensing (MCS) en anglais, un nouveau paradigme …

Disaster management heavily relies on the monitoring of social media data, but the number
of users growing is exponential, which generates a very large amount of data when a …