Real-Time TCP Packet Loss Prediction Using Machine Learning
Congestion and resulting packet loss in TCP connections can lead to performance
degradation and reduce the Quality of Experience (QoE) for end users. Many common TCP …
degradation and reduce the Quality of Experience (QoE) for end users. Many common TCP …
Packet loss rate prediction using the sparse basis prediction model
The quality of multimedia communicated through the Internet is highly sensitive to packet
loss. In this letter, we develop a time-series prediction model for the end-to-end packet loss …
loss. In this letter, we develop a time-series prediction model for the end-to-end packet loss …
[PDF][PDF] A neural network based congestion control algorithm for content-centric networks
P Bazmi, M Keshtgary - Journal of Advanced Computer Science & …, 2014 - academia.edu
Communication across the Internet has transformed over the years, generated primarily by
changes in the importance of content distribution. In the twenty-first century, people are more …
changes in the importance of content distribution. In the twenty-first century, people are more …
Application of network tomography in load balancing
MH Raza, A Nafarieh, W Robertson - Procedia Computer Science, 2015 - Elsevier
This paper applies network tomography for load balancing. Load balancing is the allocation
of the work of a single application to processors at run-time so that the execution time of the …
of the work of a single application to processors at run-time so that the execution time of the …
Network delay modeling in Mobile Wireless Mesh Networks using Network Tomography
Network Tomography is a statistical inverse problem which estimates the traffic intensities in
the network for a dynamic environment using a probabilistic approach. Wireless Mesh …
the network for a dynamic environment using a probabilistic approach. Wireless Mesh …
Load balancing algorithm based on time series prediction of packet loss rate
C Ling, J Wang, C Wang, X Peng - 2009 4th IEEE Conference …, 2009 - ieeexplore.ieee.org
This paper proposes a new load balancing mechanism, called PPLR (prediction packet loss
rate), which is based on time series prediction. Load balancing is needed in many fields; …
rate), which is based on time series prediction. Load balancing is needed in many fields; …
Improving Internet Congestion Control With Packet Loss Prediction Using Machine Learning
M Stephanides - 2023 - duo.uio.no
Congestion and resulting packet loss in TCP connections can lead to performance
degradation and reduced Quality of Service (QoS) for end users. If a packet is dropped …
degradation and reduced Quality of Service (QoS) for end users. If a packet is dropped …
Supersaturated Cloud for Multicore Systems
M Uehara - 2014 IEEE 28th International Conference on …, 2014 - ieeexplore.ieee.org
In cloud era, new cloud skill is required for IT specialists. Educational organizations such as
University need to provide educational cloud for students. We are constructing private cloud …
University need to provide educational cloud for students. We are constructing private cloud …
Loss estimation and control mechanism in bufferless optical packet-switched networks based on multilayer perceptron
Artificial neural networks (ANNs) are well-known estimators for the output of broad range of
complex systems and functions. In this paper, a common ANN architecture called multilayer …
complex systems and functions. In this paper, a common ANN architecture called multilayer …
Load balancing algorithm based on predictive packet loss rate
C Ling, J Wang, C Wang - 2008 Second International …, 2008 - ieeexplore.ieee.org
We proposed a new load balancing mechanism, called PPLR (predictive packet loss rate),
by which flow can be divided into packets and each of the packets be transferred on an …
by which flow can be divided into packets and each of the packets be transferred on an …