9 citations · 12 across the 9 of their papers we have counts for
5 papers · 1 filter
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
Anna Lackinger, Andrea Morichetta, Pantelis A. Frangoudis +1
Federated Learning (FL) is a promising machine learning solution in large-scale IoT systems, guaranteeing load distribution and privacy. However, FL does not natively consider infr…
Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices
Boris Sedlak, Philipp Raith, Andrea Morichetta +2
Edge devices have limited resources, which inevitably leads to situations where stream processing services cannot satisfy their needs. While existing autoscaling mechanisms focus e…
MACH: Multi-Agent Coordination for RSU-centric Handovers
Nikolaus Spring, Andrea Morichetta, Boris Sedlak +1
This paper introduces MACH, a novel approach for optimizing task handover in vehicular computing scenarios. To ensure fast and latency-aware placement of tasks, the decision-making…
Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum
Andrea Morichetta, Stefan Nastic, Victor Casamayor Pujol +1
We present and formalize a general approach for profiling workload by leveraging only a priori available static metadata to supply appropriate resource needs. Understanding the req…
Towards Multi-dimensional Elasticity for Pervasive Stream Processing Services
Boris Sedlak, Andrea Morichetta, Philipp Raith +2
This paper proposes a hierarchical solution to scale streaming services across quality and resource dimensions. Modern scenarios, like smart cities, heavily rely on the continuous…