[HTML][HTML] A comprehensive survey on machine learning for networking: evolution, applications and research opportunities

R Boutaba, MA Salahuddin, N Limam, S Ayoubi… - Journal of Internet …, 2018 - Springer
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

When machine learning meets congestion control: A survey and comparison

H Jiang, Q Li, Y Jiang, GB Shen, R Sinnott, C Tian… - Computer Networks, 2021 - Elsevier
Abstract Machine learning has seen a significant surge and uptake across many diverse
applications. The high flexibility, adaptability, and computing capabilities it provides extend …

Accounting for update notifications in synchronizing data that may be represented by different data structures

DJ Kadyk, NS Fishman, ME Seinfeld - US Patent 7,293,046, 2007 - Google Patents
The present application is a continuation application of commonly-assigned US. patent
application Ser. No. 09/768, 747? led Jan. 24, 2001, now US. Pat. No. 6,941,326 entitled …

Owl: Congestion control with partially invisible networks via reinforcement learning

A Sacco, M Flocco, F Esposito… - IEEE INFOCOM 2021 …, 2021 - ieeexplore.ieee.org
Years of research on transport protocols have not solved the tussle between in-network and
end-to-end congestion control. This debate is due to the variance of conditions and …

Partially oblivious congestion control for the internet via reinforcement learning

A Sacco, M Flocco, F Esposito… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Despite years of research on transport protocols, the tussle between in-network and end-to-
end congestion control has not been solved. This debate is due to the variance of conditions …

Machine learning in congestion control: A survey on selected algorithms and a new roadmap to their implementation

Z Tafa, V Milutinovic - arXiv preprint arXiv:2112.15522, 2021 - arxiv.org
With the emergence of new technologies, computer networks are becoming more
structurally complex, diverse and heterogenous. The increasing discrepancy (among the …

The emerging internet congestion control paradigms

Z Tafa, V Milutinovic - 2022 11th Mediterranean Conference on …, 2022 - ieeexplore.ieee.org
This paper presents a survey on the emerging approaches to the end-to-end congestion
control (EECC) in modern Internet. The actual mechanisms are inefficient in the operational …

Hospital care watch (HCW): an ontology and rule-based intelligent patient management assistant

VL Payne, DP Metzler - 18th IEEE Symposium on Computer …, 2005 - ieeexplore.ieee.org
Hospital care watch (HCW) is a prototype medical intelligent assistant to improve patient
care and safety and to reduce medical errors in the hospital setting. The system is based on …

[PDF][PDF] Study the Performance of Transmission Control Protocol Versions in Several Domains

QA Abed - Journal of Machine and Computing, 2023 - anapub.co.ke
Several improvements have been suggested to process Transmission Control Protocol
problems across wireless links. We are going to examine the standard TCP performance in …

Learning-TCP: A stochastic approach for efficient update in TCP congestion window in ad hoc wireless networks

V Badarla, CSR Murthy - Journal of Parallel and Distributed Computing, 2011 - Elsevier
In this work, we attempt to improve the performance of TCP over ad hoc wireless networks
(AWNs) by using a learning technique from the theory of learning automata. It is well-known …