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Ahmed Barnawi

Researcher at King Abdulaziz University

Publications -  131
Citations -  2321

Ahmed Barnawi is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 16, co-authored 111 publications receiving 1348 citations. Previous affiliations of Ahmed Barnawi include Tunis University & King Abdullah University of Science and Technology.

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Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System

TL;DR: Fog computation and MCPS are integrated to build fog computing supported MCPS (FC-MCPS), and an LP-based two-phase heuristic algorithm is proposed that produces near optimal solution and significantly outperforms a greedy algorithm.
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UAV assistance paradigm: State-of-the-art in applications and challenges

TL;DR: This comprehensive survey both studies and summarizes the existing UAV-assisted research, such as routing, data gathering, cellular communications, Internet of Things (IoT) networks, and disaster management that supports existing enabling technologies.

Smart Items, Fog and Cloud Computing as Enablers of Servitization in Healthcare

TL;DR: It is argued that smart items and cloud computing can be powerful enablers of servitization as business trend and presented a three-level architecture for a smart healthcare infrastructure based on a service-oriented architecture and extends established architectural approaches developed previously at the group.
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Malware Propagation in Large-Scale Networks

TL;DR: A rigorous two layer epidemic model for malware propagation from network to network is established, and analysis indicates that the distribution of a given malware follows exponential distribution, power law distribution with a short exponential tail, and powerLaw distribution at its early, late and final stages, respectively.
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Large scale graph processing systems: survey and an experimental evaluation

TL;DR: A comprehensive survey over the state-of-the-art of large scale graph processing platforms, namely, GraphChi, Apache Giraph, GPS, GraphLab and GraphX, and an extensive experimental study of five popular systems in this domain.