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 …

Edge intelligence: The confluence of edge computing and artificial intelligence

S Deng, H Zhao, W Fang, J Yin… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …

Mobility-aware joint task scheduling and resource allocation for cooperative mobile edge computing

U Saleem, Y Liu, S Jangsher, Y Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has emerged as a new paradigm to assist low latency
services by enabling computation offloading at the network edge. Nevertheless, human …

A smartphone perspective on computation offloading—A survey

QH Nguyen, F Dressler - Computer Communications, 2020 - Elsevier
Computation offloading has emerged as one of the promising approaches to address the
issues of restricted resources, leading to poor user experiences on smartphones in terms of …

Parking edge computing: Parked-vehicle-assisted task offloading for urban VANETs

C Ma, J Zhu, M Liu, H Zhao, N Liu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Vehicular edge computing has been a promising paradigm to offer low-latency and high
reliability vehicular services for users. Nevertheless, for compute-intensive vehicle …

Value entropy: A systematic evaluation model of service ecosystem evolution

X Xue, Z Chen, S Wang, Z Feng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the development of cloud computing, service computing, IoT (Internet of Things) and
mobile Internet, the diversity and sociality of services are increasingly apparent. With the …

Dynamic energy-saving offloading strategy guided by Lyapunov optimization for IoT devices

Z Tong, J Cai, J Mei, K Li, K Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In the Internet of Everything era, various Internet of Things (IoT) devices have become
popular, and the number of computing-intensive applications has increased substantially. As …

Revenue-optimal task scheduling and resource management for IoT batch jobs in mobile edge computing

J Huang, S Li, Y Chen - Peer-to-Peer Networking and Applications, 2020 - Springer
With the growing prevalence of Internet of Things (IoT) devices and technology, a
burgeoning computing paradigm namely mobile edge computing (MEC) is delicately …

Efficient verification of edge data integrity in edge computing environment

G Cui, Q He, B Li, X Xia, F Chen, H Jin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The new edge computing paradigm extends cloud computing by allowing service vendors to
deploy their service instances and data on distributed edge servers to serve their service …

Data caching optimization in the edge computing environment

Y Liu, Q He, D Zheng, X Xia, F Chen… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
With the rapid increase in the use of mobile devices in people's daily lives, mobile data traffic
is exploding in recent years. In the edge computing environment where edge servers are …