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Salman Raza

Researcher at Beijing University of Posts and Telecommunications

Publications -  13
Citations -  499

Salman Raza is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: Computer science & Mobile edge computing. The author has an hindex of 5, co-authored 9 publications receiving 232 citations.

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A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions

TL;DR: The VEC architecture, coupled with the concept of the smart vehicle, its services, communication, and applications are illustrated and new directions in the field of VEC are given to the other researchers.
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Fog Computing: An Overview of Big IoT Data Analytics

TL;DR: Most significant fog applications (e.g., health care monitoring, smart cities, connected vehicles, and smart grid) will be discussed here to create a well-organized green computing paradigm to support the next generation of IoT applications.
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An empirical evaluation of financial development-carbon footprint nexus in One Belt and Road region

TL;DR: It infers that financial development is a potential instrument to keep the environment through financial reforms and it is necessary to allocate resources for renewable energy, energy efficiency, and energy conservation projects in order to moderate environmental degradation.
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An efficient task offloading scheme in vehicular edge computing

TL;DR: Simulation results validate the efficient performance of the proposed scheme that not only enhances the exploitation of vehicular computation resources but also minimizes the overall system cost in comparison to baseline schemes.
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5G Enabled MEC: A Distributed Traffic Steering for Seamless Service Migration of Internet of Vehicles

TL;DR: This paper is the first to introduce a distributed traffic steering through differentiation of two different types of network elements (i.e. Edge servers and routers) in a large MEC system, and first time resolve the scalability problem of a largeMEC network into a partitioned MEC network.