Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility

F Spinelli, V Mancuso - IEEE Communications Surveys & …, 2020 - ieeexplore.ieee.org
The increasing number of heterogeneous devices connected to the Internet, together with
tight 5G requirements have generated new challenges for designing network infrastructures …

Mobile edge computing: A survey on architecture and computation offloading

P Mach, Z Becvar - IEEE communications surveys & tutorials, 2017 - ieeexplore.ieee.org
Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …

Delay-aware microservice coordination in mobile edge computing: A reinforcement learning approach

S Wang, Y Guo, N Zhang, P Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
As an emerging service architecture, microservice enables decomposition of a monolithic
web service into a set of independent lightweight services which can be executed …

Follow me at the edge: Mobility-aware dynamic service placement for mobile edge computing

T Ouyang, Z Zhou, X Chen - IEEE Journal on Selected Areas in …, 2018 - ieeexplore.ieee.org
Mobile edge computing is a new computing paradigm, which pushes cloud computing
capabilities away from the centralized cloud to the network edge. However, with the sinking …

[HTML][HTML] Edge computing technologies for Internet of Things: a primer

Y Ai, M Peng, K Zhang - Digital Communications and Networks, 2018 - Elsevier
With the rapid development of mobile internet and Internet of Things applications, the
conventional centralized cloud computing is encountering severe challenges, such as high …

A survey on emerging SDN and NFV security mechanisms for IoT systems

I Farris, T Taleb, Y Khettab… - … Communications Surveys & …, 2018 - ieeexplore.ieee.org
The explosive rise of Internet of Things (IoT) systems have notably increased the potential
attack surfaces for cybercriminals. Accounting for the features and constraints of IoT devices …

Deep reinforcement learning for collaborative edge computing in vehicular networks

M Li, J Gao, L Zhao, X Shen - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …

Fog computing for the internet of things: A survey

C Puliafito, E Mingozzi, F Longo, A Puliafito… - ACM Transactions on …, 2019 - dl.acm.org
Research in the Internet of Things (IoT) conceives a world where everyday objects are
connected to the Internet and exchange, store, process, and collect data from the …

Service placement and request scheduling for data-intensive applications in edge clouds

V Farhadi, F Mehmeti, T He, TF La Porta… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
Mobile edge computing provides the opportunity for wireless users to exploit the power of
cloud computing without a large communication delay. To serve data-intensive applications …

The internet of things, fog and cloud continuum: Integration and challenges

L Bittencourt, R Immich, R Sakellariou, N Fonseca… - Internet of Things, 2018 - Elsevier
Abstract The Internet of Things needs for computing power and storage are expected to
remain on the rise in the next decade. Consequently, the amount of data generated by …