TY - GEN
T1 - Buffer management for colored packets with deadlines
AU - Azar, Yossi
AU - Feige, Uriel
AU - Gamzu, Iftah
AU - Moscibroda, Thomas
AU - Raghavendra, Prasad
PY - 2009
Y1 - 2009
N2 - We consider buffer management of unit packets with deadlines for a multi-port device with reconfiguration overhead. The goal is to maximize the throughput of the device, i.e., the number of packets delivered by their deadline. For a single port or with free reconfiguration, the problem reduces to the well-known packets scheduling problem, where the celebrated earliest-deadline-first (EDF) strategy is optimal 1-competitive. However, EDF is not 1-competitive when there is a reconfiguration overhead. We design an online algorithm that achieves a competitive ratio of 1 - o(1) when the ratio between the minimum laxity of the packets and the number of ports tends to infinity. This is one of the rare cases where one can design an almost 1-competitive algorithm. One ingredient of our analysis, which may be interesting on its own right, is a perturbation theorem on EDF for the classical packets scheduling problem. Specifically, we show that a small perturbation in the release and deadline times cannot significantly degrade the optimal throughput. This implies that EDF is robust in the sense that its throughput is close to the optimum even when the deadlines are not precisely known.
AB - We consider buffer management of unit packets with deadlines for a multi-port device with reconfiguration overhead. The goal is to maximize the throughput of the device, i.e., the number of packets delivered by their deadline. For a single port or with free reconfiguration, the problem reduces to the well-known packets scheduling problem, where the celebrated earliest-deadline-first (EDF) strategy is optimal 1-competitive. However, EDF is not 1-competitive when there is a reconfiguration overhead. We design an online algorithm that achieves a competitive ratio of 1 - o(1) when the ratio between the minimum laxity of the packets and the number of ports tends to infinity. This is one of the rare cases where one can design an almost 1-competitive algorithm. One ingredient of our analysis, which may be interesting on its own right, is a perturbation theorem on EDF for the classical packets scheduling problem. Specifically, we show that a small perturbation in the release and deadline times cannot significantly degrade the optimal throughput. This implies that EDF is robust in the sense that its throughput is close to the optimum even when the deadlines are not precisely known.
KW - Buffer management
KW - DRAM scheduling
KW - Earliest deadline first
KW - Online algorithms
KW - Packets scheduling
UR - http://www.scopus.com/inward/record.url?scp=70449625493&partnerID=8YFLogxK
U2 - 10.1145/1583991.1584068
DO - 10.1145/1583991.1584068
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AN - SCOPUS:70449625493
SN - 9781605586069
T3 - Annual ACM Symposium on Parallelism in Algorithms and Architectures
SP - 319
EP - 327
BT - SPAA'09 - Proceedings of the 21st Annual Symposium on Parallelism in Algorithms and Architectures
T2 - 21st Annual Symposium on Parallelism in Algorithms and Architectures, SPAA'09
Y2 - 11 August 2009 through 13 August 2009
ER -