Green resource allocation based on deep reinforcement learning in content-centric IoT

X He, K Wang, H Huang, T Miyazaki… - … on Emerging Topics …, 2018 - ieeexplore.ieee.org
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …

A review on software defined content delivery network: a novel combination of CDN and SDN

H Yang, H Pan, L Ma - IEEE Access, 2023 - ieeexplore.ieee.org
With the rapid growth of multimedia services, the burden of infrastructure is becoming
heavier, which may not guarantee a high-quality experience for users. Whether the …

Fog computing for 5G tactile industrial Internet of Things: QoE-aware resource allocation model

M Aazam, KA Harras, S Zeadally - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Fifth generation mobile communication networks are currently being deployed, thus making
Tactile Internet possible. Tactile Internet is the future advancement of the current Internet of …

QoE-driven big data architecture for smart city

X He, K Wang, H Huang, B Liu - IEEE Communications …, 2018 - ieeexplore.ieee.org
In the era of big data, the applications/services of the smart city are expected to offer end
users better QoE than in a conventional smart city. Nevertheless, various types of sensors …

Security and service assurance issues in Cloud environment

P Deshpande, SC Sharma, SK Peddoju… - International Journal of …, 2018 - Springer
Cloud security and service assurance is a wide research area with an unrestrained amount
of apprehensions, ensuring equipment and stage innovations, to secure information and …

WebRTC testing: challenges and practical solutions

B Garcia, F Gortazar… - IEEE …, 2017 - ieeexplore.ieee.org
WebRTC comprises a set of novel technologies and standards that provide Real-Time
Communication on Web browsers. WebRTC makes simple the embedding of voice and …

Two-timescale resource allocation for automated networks in IIoT

Y He, Y Ren, Z Zhou, S Mumtaz… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The rapid technological advances of cellular technologies will revolutionize network
automation in industrial internet of things (IIoT). In this paper, we investigate the two …

A deep learning based personalized QoE/QoS correlation model for composite services

M Li, H Xu, Z Tu, T Su, X Xu… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Classical services computing tasks such as service design and service recommendation
need to comprehensively consider objective Quality of Services (QoS) and subjective …

An online resource scheduling for maximizing quality-of-experience in meta computing

Y Li, J Guo, Y Li, T Wang, W Jia - arxiv preprint arxiv:2304.13463, 2023 - arxiv.org
Meta Computing is a new computing paradigm, which aims to solve the problem of
computing islands in current edge computing paradigms and integrate all the resources on a …

Adaptive call center workforce management with deep neural network and reinforcement learning

W Kumwilaisak, S Phikulngoen, J Piriyataravet… - IEEE …, 2022 - ieeexplore.ieee.org
Workforce management is one of several critical issues in a call center. A call center
supervisor must assign an adequate number of call agents to handle a high volume of time …