Tuning the TCP congestion control parameters to optimize client-server systems
This article was published in the International Journal of Multimedia and Ubiquitous Engineering [© 2012]. The Journal's website is at: http://www.sersc.org/journals/IJMUE/vol7_no2_2012/30.pdf
Asıl Yazarlar: | Uddin, Jia, Kim, Jong-Myon, Yi, Myeong-Jae, Kim, Tae-Gong |
---|---|
Diğer Yazarlar: | Department of Computer Science and Engineering, BRAC University |
Materyal Türü: | Makale |
Dil: | English |
Baskı/Yayın Bilgisi: |
© 2012 International Journal of Multimedia and Ubiquitous Engineering
2016
|
Konular: | |
Online Erişim: | http://hdl.handle.net/10361/7038 |
Benzer Materyaller
-
A machine learning approach to predicting and mitigating traffic congestion
Yazar:: Faisal, Abu Fatah Mohammed, ve diğerleri
Baskı/Yayın Bilgisi: (2024) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
Yazar:: Ahmed, Ansar
Baskı/Yayın Bilgisi: (2017) -
A novel approach to forecast traffic congestion using CMTF and machine learning
Yazar:: Chowdhury, Md. Mohiuddin, ve diğerleri
Baskı/Yayın Bilgisi: (2018) -
Reducing traffic congestion level of Dhaka city using policy based algorithm in SUMO
Yazar:: Islam, Khandker Mushfiqul, ve diğerleri
Baskı/Yayın Bilgisi: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
Yazar:: Saquib, Muhammad Sadman, ve diğerleri
Baskı/Yayın Bilgisi: (2019)