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
Autori principali: | Uddin, Jia, Kim, Jong-Myon, Yi, Myeong-Jae, Kim, Tae-Gong |
---|---|
Altri autori: | Department of Computer Science and Engineering, BRAC University |
Natura: | Articolo |
Lingua: | English |
Pubblicazione: |
© 2012 International Journal of Multimedia and Ubiquitous Engineering
2016
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/7038 |
Documenti analoghi
-
A machine learning approach to predicting and mitigating traffic congestion
di: Faisal, Abu Fatah Mohammed, et al.
Pubblicazione: (2024) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
di: Ahmed, Ansar
Pubblicazione: (2017) -
A novel approach to forecast traffic congestion using CMTF and machine learning
di: Chowdhury, Md. Mohiuddin, et al.
Pubblicazione: (2018) -
Reducing traffic congestion level of Dhaka city using policy based algorithm in SUMO
di: Islam, Khandker Mushfiqul, et al.
Pubblicazione: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
di: Saquib, Muhammad Sadman, et al.
Pubblicazione: (2019)