TY - GEN
T1 - Rapid Routing with Guaranteed Delay Bounds
AU - Baruah, Sanjoy
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/4
Y1 - 2019/1/4
N2 - We consider networks in which each individual link is characterized by two delay parameters: a (usually very conservative) guaranteed upper bound on the worst-case delay, and an estimate of the delay that is typically encountered, across the link. Given a source and destination node on such a network and an upper bound on the end-to-end delay that can be tolerated, the objective is to determine routes they typically experience a small delay, while guaranteeing to respect the specified end-to-end upper bound under all circumstances. We formalize the problem of determining such routes as a shortest-paths problem on graphs, and derive algorithms for solving this problem optimally.
AB - We consider networks in which each individual link is characterized by two delay parameters: a (usually very conservative) guaranteed upper bound on the worst-case delay, and an estimate of the delay that is typically encountered, across the link. Given a source and destination node on such a network and an upper bound on the end-to-end delay that can be tolerated, the objective is to determine routes they typically experience a small delay, while guaranteeing to respect the specified end-to-end upper bound under all circumstances. We formalize the problem of determining such routes as a shortest-paths problem on graphs, and derive algorithms for solving this problem optimally.
KW - adaptive routing
KW - end-to-end deadlines
KW - on-line algorithm
KW - Real-time routing
KW - shortest paths in graphs
UR - https://www.scopus.com/pages/publications/85061530641
U2 - 10.1109/RTSS.2018.00012
DO - 10.1109/RTSS.2018.00012
M3 - Conference contribution
AN - SCOPUS:85061530641
T3 - Proceedings - Real-Time Systems Symposium
SP - 13
EP - 22
BT - Proceedings - 39th IEEE Real-Time Systems Symposium, RTSS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE Real-Time Systems Symposium, RTSS 2018
Y2 - 11 December 2018 through 14 December 2018
ER -