12 citations · 27 across the 11 of their papers we have counts for
12 papers
Breaking Down Quantum Compilation: Profiling and Identifying Costly Passes
Felix Zilk, Alessandro Tundo, Vincenzo De Maio +1
With the increasing capabilities of quantum systems, the efficient, practical execution of quantum programs is becoming more critical. Each execution includes compilation time, whi…
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
Daniel May, Alessandro Tundo, Shashikant Ilager +1
The deployment of ML models on edge devices is challenged by limited computational resources and energy availability. While split computing enables the decomposition of large neura…
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments
Shashikant Ilager, Jakob Fahringer, Alessandro Tundo +1
Edge computing provides resources for IoT workloads at the network edge. Monitoring systems are vital for efficiently managing resources and application workloads by collecting, st…
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…
Towards Model-Driven Dashboard Generation for Systems-of-Systems
Maria Teresa Rossi, Alessandro Tundo, Leonardo Mariani
Configuring and evolving dashboards in complex and large-scale Systems-of-Systems (SoS) can be an expensive and cumbersome task due to the many Key Performance Indicators (KPIs) th…
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…
Towards Self-Adaptive Peer-to-Peer Monitoring for Fog Environments
Vera Colombo, Alessandro Tundo, Michele Ciavotta +1
Monitoring is a critical component in fog environments: it promptly provides insights about the behavior of systems, reveals Service Level Agreements (SLAs) violations, enables the…
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…
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…
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…