Computation offloading toward edge computing

L Lin, X Liao, H Jin, P Li - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …

Nature-inspired optimization algorithms for different computing systems: novel perspective and systematic review

S Kaul, Y Kumar, U Ghosh, W Alnumay - Multimedia Tools and …, 2022 - Springer
Nature inspired algorithm plays a very vibrant role in solving the different optimization
problems these days. The fundamental attitude of naturalistic approaches is to boost the …

Energy-efficient cooperative resource allocation and task scheduling for Internet of Things environments

E Al-Masri, A Souri, H Mohamed, W Yang, J Olmsted… - Internet of Things, 2023 - Elsevier
Abstract Offloading Internet of Things (IoT) tasks to the cloud for further processing might not
always lead to an optimal execution time, particularly in situations such as resource …

Priority-based fair scheduling in edge computing

A Madej, N Wang, N Athanasopoulos… - 2020 IEEE 4th …, 2020 - ieeexplore.ieee.org
Scheduling is important in Edge computing. In contrast to the Cloud, Edge resources are
hardware limited and cannot support workload-driven infrastructure scaling. Hence …

An optimized collaborative scheduling algorithm for prioritized tasks with shared resources in mobile-edge and cloud computing systems

AA Amer, IE Talkhan, R Ahmed, T Ismail - Mobile Networks and …, 2022 - Springer
Mobile edge computing (MEC) is a promising technology that has the potential to meet the
latency requirements of next-generation mobile networks. Since MEC servers have limited …

Multi-tier GPU virtualization for deep learning in cloud-edge systems

J Kennedy, V Sharma, B Varghese… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accelerator virtualization offers several advantages in the context of cloud-edge computing.
Relatively weak user devices can enhance performance when running workloads by …

[HTML][HTML] 云边端架构下边缘智能计算关键问题综述: 计算优化与计算卸载

董裕民, 张静, 谢昌佐, 李子扬 - 电子与信息学报, 2024 - jeit.ac.cn
近年来, 随着入网设备数量与数据体量的急剧增加, 以云计算为代表的中心式计算模式的缺点越
来越显露出来. 边缘计算, 即让计算尽量靠近数据源, 以减少数据传输时间和网络延迟 …

A survey on scheduling techniques in the edge cloud: Issues, challenges and future directions

H Asghar, ES Jung - arXiv preprint arXiv:2202.07799, 2022 - arxiv.org
After the advent of the Internet of Things and 5G networks, edge computing became the
center of attraction. The tasks demanding high computation are generally offloaded to the …

An efficient task mapping algorithm for osmotic computing-based ecosystem

B Neha, SK Panda, PK Sahu - International Journal of Information …, 2021 - Springer
The digital transformation of all the conventional systems in the field, such as healthcare,
transportation and education, has led to the massive outflow of data. The bulk of data …

[HTML][HTML] A survey of key issues in edge intelligent computing under cloud-edge-terminal architecture: Computing optimization and computing offloading

YM Dong, J Zhang, CZ Xie, ZY Li - Journal of Electronics & Information …, 2024 - jeit.ac.cn
With the rapid increase in the number of network access devices and the volume of network
access data currently, the shortcomings of the centralized computing architecture …