QoE-driven IoT architecture: a comprehensive review on system and resource management

B Saovapakhiran, W Naruephiphat… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT
service providers (SPs) are emerging in the market and competing to offer their services …

Casva: Configuration-adaptive streaming for live video analytics

M Zhang, F Wang, J Liu - IEEE INFOCOM 2022-IEEE …, 2022 - ieeexplore.ieee.org
The advent of high-accuracy and resource-intensive deep neural networks (DNNs) has
fulled the development of live video analytics, where camera videos need to be streamed …

OA-cache: Oracle approximation-based cache replacement at the network edge

S Qiu, Q Fan, X Li, X Zhang, G Min… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the explosive increase in mobile data traffic and stringent quality-of-experience
requirements of users, mobile edge caching is a promising paradigm to reduce delivery …

Vsim: Improving qoe fairness for video streaming in mobile environments

Y Yuan, W Wang, Y Wang… - … -IEEE Conference on …, 2022 - ieeexplore.ieee.org
The rapid growth of mobile video traffic and user demand poses a more stringent
requirement for efficient bandwidth allocation in mobile networks where multiple users may …

Aggcast: Practical cost-effective scheduling for large-scale cloud-edge crowdsourced live streaming

RX Zhang, C Yang, X Wang, T Huang, C Wu… - Proceedings of the 30th …, 2022 - dl.acm.org
Conventional wisdom claims that in order to improve viewer engagement, the cloud-edge
providers should serve the viewers with the nearest edge nodes, however, we show that …

Offloading dependent tasks in edge computing with unknown system-side information

X Dai, Z Xiao, H Jiang, M Lei, G Min… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
We consider the problem of dependent task offloading in edge computing with unknown
system-side information (eg, edge transmission rate and computation resources). In this …

Joint optimization of qoe and fairness for adaptive video streaming in heterogeneous mobile environments

Y Yuan, W Wang, Y Wang… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
The rapid growth of mobile video traffic and user demand poses a more stringent
requirement for efficient bandwidth allocation in mobile networks where multiple users may …

Augmented queue-based transmission and transcoding optimization for livecast services based on cloud-edge-crowd integration

X Chen, C Xu, M Wang, Z Wu, L Zhong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, amateur broadcasters can massively generate video contents and stream them
across the Internet. For this reason, crowdsourced livecast services (CLS) are attracting …

From eye to brain: A proactive and distributed crowdsensing framework for federated learning

H Wu, H Zeng, T Zhou, Z Cai, Z Xiong… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Massive amounts of high-quality data are the prerequisite and support for AI technologies.
Due to the nature of privacy-preserving and low communication overheads, federated …

: Erasure-Coded Multi-Source Streaming for UHD Videos Within Cloud Native 5G Networks

L Pu, J Shi, X Yuan, X Chen, L Jiao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultra-High-Definition (UHD) videos have been getting increasing attention. However,
existing video streaming solutions fail to deliver them due to the extremely high bandwidth …