AI-assisted service virtualization and flow management framework for 6G-enabled cloud-software-defined network-based IoT

G Manogaran, T Baabdullah, DB Rawat… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The sixth-generation (6G) communication technology provides a high level of
interoperability through terahertz data transfer and latency-less service sharing. Due to its …

[HTML][HTML] High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer

W Gao, L Wang, M Chen, J Xiong, C Luo… - BenchCouncil …, 2022 - Elsevier
Emerging and future applications rely heavily upon systems consisting of Internet of Things
(IoT), edges, data centers, and humans-in-the-loop. Significantly different from warehouse …

[HTML][HTML] Queueing-Theoretic Performance Analysis of a Low-Entropy Labeled Network Stack

H Guo, W Zhang, Z Yu, M Chen - Intelligent Computing, 2022 - spj.science.org
Theoretical modeling is a popular method for quantitative analysis and performance
prediction of computer systems, including cloud systems. Low entropy cloud (ie, low …

TailCmp-A Tail Latency Evaluation Solution of Public Cloud and Labeled von Neumann Architecture based Cloud Prototype

X Kong, X Gao, S Pan, Y Zhou, Y Yang… - 2022 IEEE Intl Conf …, 2022 - ieeexplore.ieee.org
Tail latency is the key performance metric for cloud computing systems (CCSs). When
latency-critical (LC) applications and best-effort batch (BE) jobs are co-located on CCSs, the …

Research Article Queueing-Theoretic Performance Analysis of a Low-Entropy Labeled Network Stack

H Guo, W Zhang, Z Yu, M Chen - 2022 - spj.science.org
Theoretical modeling is a popular method for quantitative analysis and performance
prediction of computer systems, including cloud systems. Low entropy cloud (ie, low …