Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey

M Mehrabi, D You, V Latzko, H Salah… - IEEE …, 2019 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …

A survey on mobile edge computing: Focusing on service adoption and provision

K Peng, VCM Leung, X Xu, L Zheng… - Wireless …, 2018 - Wiley Online Library
Mobile cloud computing (MCC) integrates cloud computing (CC) into mobile networks,
prolonging the battery life of the mobile users (MUs). However, this mode may cause …

Clustering approach based on mini batch kmeans for intrusion detection system over big data

K Peng, VCM Leung, Q Huang - IEEE access, 2018 - ieeexplore.ieee.org
Intrusion detection system (IDS) provides an important basis for the network defense. Due to
the development of the cloud computing and social network, massive amounts of data are …

Detection and defense of DDoS attack–based on deep learning in OpenFlow‐based SDN

C Li, Y Wu, X Yuan, Z Sun, W Wang… - International Journal …, 2018 - Wiley Online Library
Distributed denial of service (DDoS) is a special form of denial of service attack. In this
paper, a DDoS detection model and defense system based on deep learning in Software …

A double deep Q-learning model for energy-efficient edge scheduling

Q Zhang, M Lin, LT Yang, Z Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Reducing energy consumption is a vital and challenging problem for the edge computing
devices since they are always energy-limited. To tackle this problem, a deep Q-learning …

An adaptive on-demand multipath routing protocol with QoS support for high-speed MANET

Z Chen, W Zhou, S Wu, L Cheng - IEEE Access, 2020 - ieeexplore.ieee.org
The mobility and resource limitation of nodes are the critical factors that affect the
performance of Mobile AD hoc network (MANET). The mobility of nodes will affect the …

A survey on mobile data offloading technologies

H Zhou, H Wang, X Li, VCM Leung - IEEE access, 2018 - ieeexplore.ieee.org
Recently, due to the increasing popularity of enjoying various multimedia services on mobile
devices (eg, smartphones, ipads, and electronic tablets), the generated mobile data traffic …

Stackelberg-game-based computation offloading method in cloud–edge computing networks

H Zhou, Z Wang, N Cheng, D Zeng… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Offloading computation tasks through cloud–edge collaboration has been a promising way
to improve the Quality of Service (QoS) of applications. Usually, cloud server (CS) and edge …

DRAIM: A novel delay-constraint and reverse auction-based incentive mechanism for WiFi offloading

H Zhou, X Chen, S He, J Chen… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
Offloading cellular traffic through WiFi Access Points (APs) has been a promising way to
relieve the overload of cellular networks. However, data offloading process consumes a lot …

A tensor-based computing and optimization model for intelligent edge services

X Wang, LT Yang, L Ren, Y Wang, MJ Deen - IEEE Network, 2022 - ieeexplore.ieee.org
Cyber-physical-social systems (CPSS) encompassing the cyber, physical and social worlds
and the integrations among them, such as Industrial Internet of Things, has, as one of its …