A review of edge computing: Features and resource virtualization

Y Mansouri, MA Babar - Journal of Parallel and Distributed Computing, 2021 - Elsevier
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

Level-5 autonomous driving—are we there yet? a review of research literature

MA Khan, HE Sayed, S Malik, T Zia, J Khan… - ACM Computing …, 2022 - dl.acm.org
Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …

Internet of things based smart grids supported by intelligent edge computing

S Chen, H Wen, J Wu, W Lei, W Hou, W Liu, A Xu… - IEEE …, 2019 - ieeexplore.ieee.org
In this paper, an edge computing system for IoT-based (Internet of Things) smart grids is
proposed to overcome the drawbacks in the current cloud computing paradigm in power …

Latency-aware VNF chain deployment with efficient resource reuse at network edge

P Jin, X Fei, Q Zhang, F Liu, B Li - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
With the increasing demand of low-latency network services, mobile edge computing (MEC)
emerges as a new paradigm, which provides server resources and processing capacities in …

NFVdeep: Adaptive online service function chain deployment with deep reinforcement learning

Y Xiao, Q Zhang, F Liu, J Wang, M Zhao… - Proceedings of the …, 2019 - dl.acm.org
With the evolution of network function virtualization (NFV), diverse network services can be
flexibly offered as service function chains (SFCs) consisted of different virtual network …

Network slice reconfiguration by exploiting deep reinforcement learning with large action space

F Wei, G Feng, Y Sun, Y Wang, S Qin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
It is widely acknowledged that network slicing can tackle the diverse usage scenarios and
connectivity services that the 5G-and-beyond system needs to support. To guarantee …

Networking systems of AI: On the convergence of computing and communications

L Song, X Hu, G Zhang, P Spachos… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …

Survey on placement methods in the edge and beyond

B Sonkoly, J Czentye, M Szalay… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …

Online adaptive interference-aware VNF deployment and migration for 5G network slice

Q Zhang, F Liu, C Zeng - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
Based on network function virtualization (NFV) and software defined network (SDN), network
slicing is proposed as a new paradigm for building service-customized 5G network. In each …

Online orchestration of cross-edge service function chaining for cost-efficient edge computing

Z Zhou, Q Wu, X Chen - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
Edge computing (EC) has quickly ascended to be the de-facto standard for hosting
emerging low-latency applications, as exemplified by intelligent video surveillance, Internet …