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20222024
most citedResilience and Load Balancing in Fog Networks: A Multi-Criteria Decision Analysis Approach

18 citations · 51 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2024★ 3 cited

Predicting Market Trends with Enhanced Technical Indicator Integration and Classification Models

Abdelatif Hafid, Abderazzak Mouiha, Linglong Kong +4

Thanks to the high potential for profit, trading has become increasingly attractive to investors as the cryptocurrency and stock markets rapidly expand. However, because financial…

cs.LG2024★ 1 cited

Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators

Abdelatif Hafid, Maad Ebrahim, Ali Alfatemi +2

The rapid growth of the stock market has attracted many investors due to its potential for significant profits. However, predicting stock prices accurately is difficult because fin…

cs.AI2024

Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning

Maad Ebrahim, Abdelhakim Hafid

Real-time Internet of Things (IoT) applications require real-time support to handle the ever-growing demand for computing resources to process IoT workloads. Fog Computing provides…

cs.LG2023

Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach

Maad Ebrahim, Abdelhakim Senhaji Hafid, Mohamed Riduan Abid

Fog computing emerged as a promising paradigm to address the challenges of processing and managing data generated by the Internet of Things (IoT). Load balancing (LB) plays a cruci…

cs.DC2023★ 15 cited

Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning Approach

Maad Ebrahim, Abdelhakim Hafid

In this paper, we propose a load balancing algorithm based on Reinforcement Learning (RL) to optimize the performance of Fog Computing for real-time IoT applications. The algorithm…

cs.DC2022★ 18 cited

Resilience and Load Balancing in Fog Networks: A Multi-Criteria Decision Analysis Approach

Maad Ebrahim, Abdelhakim Hafid

The advent of Cloud Computing enabled the proliferation of IoT applications for smart environments. However, the distance of these resources makes them unsuitable for delay-sensiti…

cs.CR2022★ 14 cited

Blockchain as privacy and security solution for smart environments: A Survey

Maad Ebrahim, Abdelhakim Hafid, Etienne Elie

Blockchain was always associated with Bitcoin, cryptocurrencies, and digital asset trading. However, its benefits are far beyond that. It supports technologies like the Internet-of…