Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey
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 …
in providing compute-and data-intensive services with low latency. Growing service …
A survey on mobile edge computing: Focusing on service adoption and provision
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 …
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
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 …
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
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 …
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
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 …
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 …
performance of Mobile AD hoc network (MANET). The mobility of nodes will affect the …
A survey on mobile data offloading technologies
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 …
devices (eg, smartphones, ipads, and electronic tablets), the generated mobile data traffic …
Stackelberg-game-based computation offloading method in cloud–edge computing networks
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 …
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
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 …
relieve the overload of cellular networks. However, data offloading process consumes a lot …
A tensor-based computing and optimization model for intelligent edge services
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 …
and the integrations among them, such as Industrial Internet of Things, has, as one of its …