activity
20202025
most citedCollaboration vs. choreography conformance in BPMN

9 citations · 12 across the 9 of their papers we have counts for

collaborators

11 papers

cs.LG2025

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…

cs.DC2025

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…

cs.NI2025

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…

cs.DC2025

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…

cs.PF2025

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…

cs.DC2024★ 3 cited

Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition

Rastko Gajanin, Anastasiya Danilenka, Andrea Morichetta +1

In this work, we tackle the problem of performing multi-label classification in the case of extremely heterogeneous data and with decentralized Machine Learning. Solving this issue…

cs.DC2024

RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms

Filip Loisel, Geri Zeqo, Andrea Morichetta +2

The increasing volume and complexity of IoT systems demand a transition from the cloud-centric model to a decentralized IoT architecture in the so-called Computing Continuum, with…

cs.LG2024

Adaptive Stream Processing on Edge Devices through Active Inference

Boris Sedlak, Victor Casamayor Pujol, Andrea Morichetta +2

The current scenario of IoT is witnessing a constant increase on the volume of data, which is generated in constant stream, calling for novel architectural and logical solutions fo…

cs.DC2024

SLO-Aware Task Offloading within Collaborative Vehicle Platoons

Boris Sedlak, Andrea Morichetta, Yuhao Wang +4

In the context of autonomous vehicles (AVs), offloading is essential for guaranteeing the execution of perception tasks, e.g., mobile mapping or object detection. While existing wo…

cs.SE2021

SuMo: A Mutation Testing Strategy for Solidity Smart Contracts

Morena Barboni, Andrea Morichetta, Andrea Polini

Smart Contracts are software programs that are deployed and executed within a blockchain infrastructure. Due to their immutable nature, directly resulting from the specific charact…

cs.SE2020★ 9 cited

Collaboration vs. choreography conformance in BPMN

Flavio Corradini, Andrea Morichetta, Andrea Polini +2

The BPMN 2.0 standard is a widely used semi-formal notation to model distributed information systems from different perspectives. The standard makes available a set of diagrams to…