31 citations · 63 across the 15 of their papers we have counts for
17 papers
ReProbe: An Architecture for Reconfigurable and Adaptive Probes
Federico Alessi, Alessandro Tundo, Marco Mobilio +2
Modern distributed systems are highly dynamic and scalable, requiring monitoring solutions that can adapt to rapid changes. Monitoring systems that rely on external probes can only…
Automated Probe Life-Cycle Management for Monitoring-as-a-Service
Alessandro Tundo, Marco Mobilio, Oliviero Riganelli +1
Cloud services must be continuously monitored to guarantee that misbehaviors can be timely revealed, compensated, and fixed. While simple applications can be easily monitored and c…
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge
Alessandro Tundo, Marco Mobilio, Shashikant Ilager +3
The advent of edge devices dedicated to machine learning tasks enabled the execution of AI-based applications that efficiently process and classify the data acquired by the resourc…
Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition
Hamza Amrani, Daniela Micucci, Marco Mobilio +1
Several techniques have been proposed to address the problem of recognizing activities of daily living from signals. Deep learning techniques applied to inertial signals have prove…
Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical Assessment
Oliviero Riganelli, Paolo Saltarel, Alessandro Tundo +2
Hierarchical Temporal Memory (HTM) is an unsupervised learning algorithm inspired by the features of the neocortex that can be used to continuously process stream data and detect a…
Declarative Dashboard Generation
Alessandro Tundo, Chiara Castelnovo, Marco Mobilio +2
Systems of systems are highly dynamic software systems that require flexible monitoring solutions to be observed and controlled. Indeed, operators have to frequently adapt the set…
FILO: FIx-LOcus Localization for Backward Incompatibilities Caused by Android Framework Upgrades
Marco Mobilio, Oliviero Riganelli, Daniela Micucci +1
Mobile operating systems evolve quickly, frequently updating the APIs that app developers use to build their apps. Unfortunately, API updates do not always guarantee backward compa…
Personalization in Human Activity Recognition
Anna Ferrari, Daniela Micucci, Marco Mobilio +1
In the recent years there has been a growing interest in techniques able to automatically recognize activities performed by people. This field is known as Human Activity recognitio…
FILO: FIx-LOcus Recommendation for Problems Caused by Android Framework Upgrade
Marco Mobilio, Oliviero Riganelli, Daniela Micucci +1
Dealing with the evolution of operating systems is challenging for developers of mobile apps, who have to deal with frequent upgrades that often include backward incompatible chang…
Anomaly Detection As-a-Service
Marco Mobilio, Matteo Orrù, Oliviero Riganelli +2
Cloud systems are complex, large, and dynamic systems whose behavior must be continuously analyzed to timely detect misbehaviors and failures. Although there are solutions to flexi…
A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition
Anna Ferrari, Daniela Micucci, Marco Mobilio +1
Human activity recognition (HAR) is a very active research field. Recently, deep learning techniques are being exploited to recognize human activities from inertial signals. Howeve…
A Benchmark of Data Loss Bugs for Android Apps
Oliviero Riganelli, Marco Mobilio, Daniela Micucci +1
Android apps must be able to deal with both stop events, which require immediately stopping the execution of the app without losing state information, and start events, which requi…
An Architecture for Embedded Systems Supporting Assisted Living
Daniela Micucci, Marco Mobilio
The rise in life expectancy is one of the great achievements of the twentieth century. This phenomenon originates a still increasing interest in Ambient Assisted Living (AAL) techn…
Model-Based Monitoring for IoTs Smart Cities Applications
Matteo Orrù, Marco Mobilio, Anas Shatnawi +3
Smart Cities are future urban aggregations, where a multitude of heterogeneous systems and IoT devices interact to provide a safer, more efficient, and greener environment. The vis…
CloudHealth: A Model-Driven Approach to Watch the Health of Cloud Services
Anas Shatnawi, Matteo Orrù, Marco Mobilio +2
Cloud systems are complex and large systems where services provided by different operators must coexist and eventually cooperate. In such a complex environment, controlling the hea…
UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones
Daniela Micucci, Marco Mobilio, Paolo Napoletano
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being increasingly used to monitor human activities. Data acquired by the hosted sensors are usually pr…
Falls as anomalies? An experimental evaluation using smartphone accelerometer data
Daniela Micucci, Marco Mobilio, Paolo Napoletano +1
Life expectancy keeps growing and, among elderly people, accidental falls occur frequently. A system able to promptly detect falls would help in reducing the injuries that a fall c…