most citedA Resources Representation For Resource Allocation In Fog Computing Networks

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.NI2022

Resource Provisioning in Edge Computing for Latency Sensitive Applications

Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika +1

Low-Latency IoT applications such as autonomous vehicles, augmented/virtual reality devices and security applications require high computation resources to make decisions on the fl…

cs.NI2022

A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks

Amine Abouaomar, Zoubeir Mlika, Abderrahime Filali +2

Multi-access edge computing (MEC) is a key enabler to reduce the latency of vehicular network. Due to the vehicles mobility, their requested services (e.g., infotainment services)…

cs.NI2022

Mean-Field Game and Reinforcement Learning MEC Resource Provisioning for SFC

Amine Abouaomar, Soumaya Cherkaoui, Zoubeir Mlika +1

In this paper, we address the resource provisioning problem for service function chaining (SFC) in terms of the placement and chaining of virtual network functions (VNFs) within a…

cs.NI20221 cited

A Resources Representation For Resource Allocation In Fog Computing Networks

Amine Abouaomar, Soumaya Cherkaoui, Abdellatif Kobbane +1

Fog computing is emerging as a new paradigm to deal with latency-sensitive applications, by making data processing and analysis close to their source. Due to the heterogeneity of d…

cs.NI2022

Matching-Game for User-Fog Assignment

Amine Abouaomar, Abdellatif Kobbane, Soumaya Cherkaoui

Fog computing has emerged as a new paradigm in mobile network communications, aiming to equip the edge of the network with the computing and storing capabilities to deal with the h…