T
Tarik Taleb
Researcher at Aalto University
Publications - 412
Citations - 19589
Tarik Taleb is an academic researcher from Aalto University. The author has contributed to research in topics: Cloud computing & Quality of service. The author has an hindex of 58, co-authored 365 publications receiving 14712 citations. Previous affiliations of Tarik Taleb include Sejong University & University of Twente.
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Journal ArticleDOI
On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration
TL;DR: This paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties, and elaborates further on open research challenges.
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Cache in the air: exploiting content caching and delivery techniques for 5G systems
TL;DR: A novel edge caching scheme based on the concept of content-centric networking or information-centric networks is proposed and evaluated, using trace-driven simulations to evaluate the performance of the proposed scheme and validate the various advantages of the utilization of caching content in 5G mobile networks.
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Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions
TL;DR: The diverse use cases and network requirements of network slicing, the pre-slicing era, considering RAN sharing as well as the end-to-end orchestration and management, encompassing the radio access, transport network and the core network are outlined.
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Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives
TL;DR: A comprehensive survey on the UAVs and the related issues will be introduced, the envisioned UAV-based architecture for the delivery of Uav-based value-added IoT services from the sky will be introduction, and the relevant key challenges and requirements will be presented.
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UAV-Based IoT Platform: A Crowd Surveillance Use Case
TL;DR: A high-level view of a UAV-based integrative IoT platform for the delivery of IoT services from large height, along with the overall system orchestrator, is presented and how UAVs can be used for crowd surveillance based on face recognition is demonstrated.