TY - GEN
T1 - DIP
T2 - 8th IEEE International Symposium on Computers and Communication, ISCC 2003
AU - Jin, Yixin
AU - Zhang, Beichuan
AU - Pappas, Vasileios
AU - Zhang, Lixia
AU - Jamin, Sugih
PY - 2003
Y1 - 2003
N2 - The Internet distance map service (IDMaps) [P. Francis, S. Jamin, C. Jin, D. Raz, Y. Shavitt, and L. Zhang, 2001] provides distance estimates between any pair of hosts connected to the Internet. The IDMaps system comprises two component types: tracers that measure distance between IP address prefixes, and servers that collect measurement results and answer distance queries. The distance information protocol (DIP) is used for tracers to report measured distance data to servers. The dynamics on the Internet topology, the distributed nature of autonomous tracers and servers, and the vast size of the data set require that DIP provide highly adaptive and scalable data dissemination from tracers to servers. DIP is a soft-state announce/listen protocol and scales independently from the total amount of measurement data by all tracers. DIP achieves its scalability through combination of staged timers, positive feedback, and feedback suppression techniques, which enable DIP to disseminate only the most useful measurement data to servers in a dynamic way. Simulations verified DIP's scalability and adaptability under various network conditions.
AB - The Internet distance map service (IDMaps) [P. Francis, S. Jamin, C. Jin, D. Raz, Y. Shavitt, and L. Zhang, 2001] provides distance estimates between any pair of hosts connected to the Internet. The IDMaps system comprises two component types: tracers that measure distance between IP address prefixes, and servers that collect measurement results and answer distance queries. The distance information protocol (DIP) is used for tracers to report measured distance data to servers. The dynamics on the Internet topology, the distributed nature of autonomous tracers and servers, and the vast size of the data set require that DIP provide highly adaptive and scalable data dissemination from tracers to servers. DIP is a soft-state announce/listen protocol and scales independently from the total amount of measurement data by all tracers. DIP achieves its scalability through combination of staged timers, positive feedback, and feedback suppression techniques, which enable DIP to disseminate only the most useful measurement data to servers in a dynamic way. Simulations verified DIP's scalability and adaptability under various network conditions.
UR - http://www.scopus.com/inward/record.url?scp=84883893485&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883893485&partnerID=8YFLogxK
U2 - 10.1109/ISCC.2003.1214212
DO - 10.1109/ISCC.2003.1214212
M3 - Conference contribution
AN - SCOPUS:84883893485
SN - 076951961X
SN - 9780769519616
T3 - Proceedings - IEEE Symposium on Computers and Communications
SP - 775
EP - 782
BT - Proceedings - 8th IEEE International Symposium on Computers and Communication, ISCC 2003
Y2 - 30 June 2003 through 3 July 2003
ER -