scholarly journals Measurement of packet train arrival conditions in high latency networks

2013 ◽  
Author(s):  
Etuate Cocker ◽  
Ulrich Speidel ◽  
N. Rebenich ◽  
S. Neville ◽  
A. Gulliver ◽  
...  
Keyword(s):  
Packet Train

scholarly journals Accurate and affordable packet-train testing systems for multi-gigabit-per-second networks

2016 ◽  
Vol 54 (3) ◽  
pp. 80-87 ◽  
Author(s):  
Mario Ruiz ◽  
Javier Ramos ◽  
Gustavo Sutter ◽  
Jorge E. Lopez de Vergara ◽  
Sergio Lopez-Buedo ◽  
...  
Keyword(s):  
Packet Train

Self-Loading Decreasing Rate Packet Train Method for Available Bandwidth Estimation

2012 ◽  
Vol 23 (2) ◽  
pp. 335-351
Author(s):  
Da-Lu ZHANG ◽  
Zhi-Guo HU ◽  
An-Qi ZHU ◽  
Jun-Sheng ZHANG
Keyword(s):  
Bandwidth Estimation ◽  
Available Bandwidth ◽  
Available Bandwidth Estimation ◽  
Packet Train

Available Bandwidth Measurement Method of High-Speed Network Based on Link Idle Probability

2011 ◽  
Vol 187 ◽  
pp. 277-281
Author(s):  
Jian Gang Dong
Keyword(s):  
Network Traffic ◽  
High Speed ◽  
Measurement Method ◽  
Network Simulation ◽  
Main Body ◽  
Simulation Test ◽  
Available Bandwidth ◽  
High Speed Network ◽  
Packet Train ◽  
Bandwidth Measurement

Available bandwidth measurement of network is an important step in network traffic design and assignment as well as network planning. The previous packet pair and packet train technologies based on network bottleneck segment principle can not be used for available bandwidth measurement of high-speed network. Based on analysis of shortcomings of bandwidth measurement method accordance with network bottleneck segment, the paper presented a kind of high-speed network available bandwidth measurement method based on link idle probability and gave specific steps. The method took router as main body and do not need to consider complicated interference of data flow in the network. Simulation test based on OPNET indicates the feasibility of this method.

Shipping data from heterogeneous protocols on packet train

2012 ◽  
Author(s):  
Chieh-Jan Mike Liang ◽  
Kaifei Chen ◽  
Jie Liu ◽  
Nissanka Bodhi Priyantha ◽  
Feng Zhao
Keyword(s):  
Packet Train
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