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 …
service providers (SPs) are emerging in the market and competing to offer their services …
Casva: Configuration-adaptive streaming for live video analytics
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 …
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
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 …
requirements of users, mobile edge caching is a promising paradigm to reduce delivery …
Vsim: Improving qoe fairness for video streaming in mobile environments
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 …
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
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 …
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
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 …
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
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 …
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
Nowadays, amateur broadcasters can massively generate video contents and stream them
across the Internet. For this reason, crowdsourced livecast services (CLS) are attracting …
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
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 …
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
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 …
existing video streaming solutions fail to deliver them due to the extremely high bandwidth …