A survey on mobile edge computing: The communication perspective

Y Mao, C You, J Zhang, K Huang… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

Green cloud computing using proactive virtual machine placement: challenges and issues

M Masdari, M Zangakani - Journal of Grid Computing, 2020 - Springer
Efficient VM management is very crucial for energy saving, increasing profit, and preventing
SLA violations. VM placement schemes can be classified into reactive and …

Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things

Y Liu, M Peng, G Shou, Y Chen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …

Online job dispatching and scheduling in edge-clouds

H Tan, Z Han, XY Li, FCM Lau - IEEE INFOCOM 2017-IEEE …, 2017 - ieeexplore.ieee.org
In edge-cloud computing, a set of edge servers are deployed near the mobile devices such
that these devices can offload jobs to the servers with low latency. One fundamental and …

Migration modeling and learning algorithms for containers in fog computing

Z Tang, X Zhou, F Zhang, W Jia… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Fog Computing (FC) is a flexible architecture to support distributed domain-specific
applications with cloud-like quality of service. However, current FC still lacks the mobility …

Green resource allocation based on deep reinforcement learning in content-centric IoT

X He, K Wang, H Huang, T Miyazaki… - … on Emerging Topics …, 2018 - ieeexplore.ieee.org
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …

[PDF][PDF] Mobile edge computing: Survey and research outlook

Y Mao, C You, J Zhang, K Huang… - arXiv preprint arXiv …, 2017 - researchgate.net
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards …

Path planning for UAV ground target tracking via deep reinforcement learning

B Li, Y Wu - IEEE access, 2020 - ieeexplore.ieee.org
In this paper, we focus on the study of UAV ground target tracking under obstacle
environments using deep reinforcement learning, and an improved deep deterministic policy …

Adaptive and efficient resource allocation in cloud datacenters using actor-critic deep reinforcement learning

Z Chen, J Hu, G Min, C Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The ever-expanding scale of cloud datacenters necessitates automated resource
provisioning to best meet the requirements of low latency and high energy-efficiency …

Overbooking network slices through yield-driven end-to-end orchestration

JX Salvat, L Zanzi, A Garcia-Saavedra… - Proceedings of the 14th …, 2018 - dl.acm.org
Network slicing allows mobile operators to offer, via proper abstractions, mobile
infrastructure (radio, networking, computing) to vertical sectors traditionally alien to the telco …