Vehicular fog computing (VFC) enhances compute-intensive task processing by exploiting idle vehicle resources. However, existing offloading mechanisms may fail due to dynamic factors, such as vehicle mobility, unstable links, and service overload. This paper proposes an offloading-failure-aware (OFA) task offloading sc...
Yi-Hao Wu, Yanli Qi, Yiqing Zhou et al.· IEEE Transactions on Network...· 0 citations
Simulation experiments demonstrate that the proposed SDN control with parked electric vehicles enables faster, energy-aware, and more reliable computing services for mobile IoT applications.
Ali Kies, Amal Boumedjout, Zoulikha Mekkakia Maaza et al.· Cluster Computing· 0 citations
This paper proposes a hierarchical computation framework that flexibly supports task execution across local vehicles, neighboring vehicles, RSUs, and cloud resources, and designs an efficient task migration and resource scheduling strategy that improves overall system performance under dynamic network conditions.
With the emergence of autonomous vehicles and the ever-increasing volume of generated data, the Mobile Edge Computing paradigm has been proposed to address challenges related to latency and computational capacity. However, static vehicle-to-MEC association policies fail to meet these requirements due to the highly dyna...
Rim Sayegh, Hela Marouane, Sahar Hoteit et al.· IEEE Conference on Network S...· 0 citations
This study introduces an intelligent, hierarchical resource management framework that improves existing fog infrastructure without requiring additional hardware installation and enables sustainable, responsive, and cost-effective IoT-fog ecosystems.
Raghad Ghalib Alsultan· NTU Journal of Engineering a...· 0 citations
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