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Towards Sustainable Deployment of Microservices over the Cloud-IoT Continuum, with FREEDA
- Jacopo Soldani,
- Roberto Amadini,
- Antonio Brogi,
- Stefano Forti,
- Saverio Giallorenzo,
- Pierluigi Plebani,
- Monica Vitali,
- Gianluigi Zavattaro
This position paper introduces FREEDA, a research project aimed at supporting DevOps engineers in achieving failure-resilient and sustainable deployments of microservice-based applications over the Cloud-IoT computing continuum. After providing the ...
Towards enabling observability of energy demand, with NEST
- Alessandro Bocci,
- Antonio Brogi,
- Gianpaolo Cugola,
- Stefano Forti,
- Luca Mottola,
- Virginia Pilloni,
- Sabrina Romano,
- Jacopo Soldani,
- Elio Usai
This work-in-progress paper introduces the project "Network for Energy Sustainable Transition" (NEST), whose overall objective is to conceive technologies facilitating the conversion and utilisation of renewable sources, ensuring sustainability across ...
Urgent Edge Computing
- Patrizio Dazzi,
- Luca Ferrucci,
- Marco Danelutto,
- Konstantinos Tserpes,
- Antonios Makris,
- Theodoros Theodoropoulos,
- Jacopo Massa,
- Emanuele Carlini,
- Matteo Mordacchini
This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency, availability, ...
Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach
- Antonios Makris,
- Emmanouil Maragkoudakis,
- Ioannis Kontopoulos,
- Theodoros Theodoropoulos,
- Ioannis Korontanis,
- Emanuele Carlini,
- Matteo Mordacchini,
- Patrizio Dazzi,
- Theodora Varvarigou
The transition from Cloud Computing to a Cloud-Edge continuum introduces novel opportunities and challenges for data-intensive and interactive Next Generation applications. Strategies that were effective in the Cloud environment now necessitate ...
Towards Energy-Aware Execution and Offloading of Serverless Functions
The convergence of Function-as-a-Service (FaaS) with Edge computing presents a promising avenue to address the demands of geo-distributed and pervasive applications. Yet, leveraging both the reduced latency of Edge and the scalability of FaaS ...
Reactive Autoscaling of Kubernetes Nodes
Kubernetes is undoubtedly the most effective container orchestration system that automates container management with high scalability. It allows running containerized applications on a Kubernetes cluster composed of a set of computing nodes. According to ...
OUTFIT: Crowdsourced Data Feeding Noise Maps in Digital Twins
- Elena Ascari,
- Mauro Cerchiai,
- Pasquale Gorrasi,
- Antonella Longo,
- Gabriele Mencagli,
- Francesca Miccoli,
- Marco Zappatore
In the realm of urban management, Digital Twins (DTs) have recently shown their potential to improve planning and sustainability. The OUTFIT PRIN 2022 project aims to optimize data streams to dynamically render Road Traffic Noise (RTN) in an urban DT ...
Encoding Consistency: Optimizing Self-Driving Reliability With Real-Time Speed Data
Self-driving cars can revolutionize transportation systems, offering the potential to significantly enhance efficiency while also addressing the critical issue of human fatalities on roadways. Hence, there is a need to investigate methods to enhance self-...
Striking Trade-off Between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris
The Edge Computing environments facilitate the creation of pervasive applications distributed across vast geographical regions, addressing particular challenges associated with centralized information processing, such as network bandwidth saturation and ...