Edge-computing-driven internet of things: A survey
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …
Making accurate object detection at the edge: Review and new approach
Z Huang, S Yang, MC Zhou, Z Gong… - Artificial Intelligence …, 2022 - Springer
With the development of Internet of Things (IoT), data are increasingly appearing at the edge
of a network. Processing tasks at the network edge can effectively solve the problems of …
of a network. Processing tasks at the network edge can effectively solve the problems of …
Edge computing: A survey
In recent years, the Edge computing paradigm has gained considerable popularity in
academic and industrial circles. It serves as a key enabler for many future technologies like …
academic and industrial circles. It serves as a key enabler for many future technologies like …
[HTML][HTML] Optimized container scheduling for data-intensive serverless edge computing
Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …
workload and device heterogeneity, as well as the geographic dispersion of compute and …
Multi-hop multi-task partial computation offloading in collaborative edge computing
Collaborative edge computing (CEC) is a recent popular paradigm where different edge
devices collaborate by sharing data and computation resources. One of the fundamental …
devices collaborate by sharing data and computation resources. One of the fundamental …
Multihop offloading of multiple DAG tasks in collaborative edge computing
Collaborative edge computing (CEC) is a recently popular paradigm enabling sharing of
data and computation resources among different edge devices. Task offloading is an …
data and computation resources among different edge devices. Task offloading is an …
Slow-movement particle swarm optimization algorithms for scheduling security-critical tasks in resource-limited mobile edge computing
Mobile edge computing (MEC) allows mobile devices to offload computation tasks to nearby
MEC servers for achieving low latency and energy efficiency. This paper aims at scheduling …
MEC servers for achieving low latency and energy efficiency. This paper aims at scheduling …
Edge computing for internet of things: A survey
H Xue, B Huang, M Qin, H Zhou… - … Conferences on Internet …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is integrating the physical world with the information world. As
more and more sensor devices are deployed in the IoT, IoT faces several challenges, such …
more and more sensor devices are deployed in the IoT, IoT faces several challenges, such …
Joint multi-user DNN partitioning and task offloading in mobile edge computing
Mobile edge computing is conducive to artificial intelligence computing near terminals, in
which Deep Neural Networks (DNNs) should be partitioned to allocate tasks partially to the …
which Deep Neural Networks (DNNs) should be partitioned to allocate tasks partially to the …
A deep reinforcement learning based hybrid algorithm for efficient resource scheduling in edge computing environment
F Xue, Q Hai, T Dong, Z Cui, Y Gong - Information Sciences, 2022 - Elsevier
Edge computing can greatly decrease the delay between users and cloud servers, which
can significantly improve system service performance. However, it remains challenging for …
can significantly improve system service performance. However, it remains challenging for …