Digital twin-empowered network planning for multi-tier computing

C Zhou, J Gao, M Li, XS Shen… - … of Communications and …, 2022 - ieeexplore.ieee.org
In this paper, we design a resource management scheme to support stateful applications,
which will be prevalent in sixth generation (6G) networks. Different from stateless …

Joint online optimization of data sampling rate and preprocessing mode for edge–cloud collaboration-enabled industrial IoT

Y Shi, C Yi, B Chen, C Yang, K Zhu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Edge–cloud collaboration is critical in the Industrial Internet of Things (IIoT) for serving
computation-intensive tasks (eg, bearing fault monitoring) that require low-response delay …

A probability preferred priori offloading mechanism in mobile edge computing

J Wang, W Wu, Z Liao, RS Sherratt, GJ Kim… - IEEE …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) can provide computation and storage capabilities via edge
servers which are closer to user devices (UDs). The MEC offloading system can be viewed …

ECFA: an efficient convergent firefly algorithm for solving task scheduling problems in cloud-edge computing

L Yin, J Sun, J Zhou, Z Gu, K Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In cloud-edge computing paradigms, the integration of edge servers and task offloading
mechanisms has posed new challenges to developing task scheduling strategies. This …

Smart computational offloading for mobile edge computing in next-generation Internet of Things networks

Z Ali, ZH Abbas, G Abbas, A Numani, M Bilal - Computer Networks, 2021 - Elsevier
Limited battery and computing resources of mobile devices (MDs) induce performance
limitations in mobile edge computing (MEC) networks. Computational offloading has the …

Computation offloading for distributed mobile edge computing network: A multiobjective approach

F Sufyan, A Banerjee - IEEE Access, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is emerging as a cornerstone technology to address the
conflict between resource-constrained smart devices (SDs) and the ever-increasing …

[HTML][HTML] Delay and energy-efficient data collection scheme-based matrix filling theory for dynamic traffic IoT

X Xiang, W Liu, T Wang, M Xie, X Li, H Song… - EURASIP Journal on …, 2019 - Springer
Data collection is the basic functions of the Internet of Things (IoT), in which the sensed data
are concentrations from sensor nodes to the sink, with a timely style, so the smart response …

Joint offloading decision and trajectory design for UAV-enabled edge computing with task dependency

B Xu, Z Kuang, J Gao, L Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we investigate the joint problem of task offloading, Unmanned Aerial Vehicle
(UAV) trajectory design, and resource allocation for UAV-enabled edge computing …

Throughput maximization for multiedge multiuser edge computing systems

Y Deng, Z Chen, X Chen, Y Fang - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The multiaccess edge computing/mobile-edge computing (MEC) is becoming a key
technology toward “full 5G.” However, as it gets widely used, a fundamental problem is how …

Dynamic priority-based computation scheduling and offloading for interdependent tasks: Leveraging parallel transmission and execution

R Chai, M Li, T Yang, Q Chen - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as an effective paradigm to enhance
the computing capability of capability-limited mobile devices (MDs). In this article, we …