TY - GEN
T1 - TCP retransmission monitoring and configuration tuning on AI3 satellite link
AU - Koide, Kazuhide
AU - Fujieda, Shunsuke
AU - Cho, Kenjiro
AU - Shiratori, Norio
PY - 2005
Y1 - 2005
N2 - The AI3 project aims to achieve effective and fair bandwidth usage of its relatively narrow satellite links by all the partners in this project and the best possible end-to-end communication quality under limited resources. It is difficult to realize them as the operation of it is shared by all the partners with heterogeneous traffic demands and policies, as the network includes many traffic engineering(TE) facilities for traffic shaping or priority queuing in various points. In this paper we monitor the retransmission rate of TCP flows in a passive mode to obtain estimated packet loss rate of each flow and partner, and try to analyze the actual reason that affects end-to-end communications in a real-world environment. The results obtained in this paper is considered as a first step of reflecting TCP retransmission monitoring to improve operation, focusing on a certain partner, ITB, who has the largest traffic demand in AI3. The effectivity of the method is approved by the experimental configuration tuning.
AB - The AI3 project aims to achieve effective and fair bandwidth usage of its relatively narrow satellite links by all the partners in this project and the best possible end-to-end communication quality under limited resources. It is difficult to realize them as the operation of it is shared by all the partners with heterogeneous traffic demands and policies, as the network includes many traffic engineering(TE) facilities for traffic shaping or priority queuing in various points. In this paper we monitor the retransmission rate of TCP flows in a passive mode to obtain estimated packet loss rate of each flow and partner, and try to analyze the actual reason that affects end-to-end communications in a real-world environment. The results obtained in this paper is considered as a first step of reflecting TCP retransmission monitoring to improve operation, focusing on a certain partner, ITB, who has the largest traffic demand in AI3. The effectivity of the method is approved by the experimental configuration tuning.
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U2 - 10.1007/11599593_21
DO - 10.1007/11599593_21
M3 - Conference contribution
AN - SCOPUS:33745444479
SN - 3540308849
SN - 9783540308843
VL - 3837 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 282
EP - 295
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 1st Asian Internet Engineering Conference, AINTEC 2005
Y2 - 13 December 2005 through 15 December 2005
ER -