Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning

Author:

Belcastro Loris1ORCID,Marozzo Fabrizio1ORCID,Orsino Alessio1ORCID,Talia Domenico1ORCID,Trunfio Paolo1ORCID

Affiliation:

1. Department of Informatics, Modeling, Electronics and Systems (DIMES), University of Calabria, Arcavacata, Rende, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Load-aware switch migration for controller load balancing in edge–cloud architectures;Future Generation Computer Systems;2025-01

2. Advancements in TinyML: Applications, Limitations, and Impact on IoT Devices;Electronics;2024-09-08

3. Edge-to-Cloud Continuum Orchestrator for Distributed Video Applications;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19

4. Design of Platform-Independent IoT Applications in the Edge-Cloud Continuum;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

5. A Spark-based Task Allocation Solution for Machine Learning in the Edge-Cloud Continuum;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

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