TY - GEN
T1 - Contention Resolution with Message Deadlines
AU - Agrawal, Kunal
AU - Bender, Michael A.
AU - Fineman, Jeremy T.
AU - Gilbert, Seth
AU - Young, Maxwell
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/7/6
Y1 - 2020/7/6
N2 - In the contention-resolution problem, multiple players contend for access to a shared resource. Contention resolution is used in wireless networks, where messages must be transmitted on a shared communication channel. When two or more messages are transmitted at the same time, a collision occurs, and none of the transmissions succeed. Much of the theoretical work on contention resolution has focused on efficiently resolving collisions in order to obtain throughput guarantees. However, in modern-day networks, not all traffic is treated equally. Instead, messages are often handled according to a notion of priority. While throughput remains an important metric, it fails to capture this increasingly-common scenario of traffic prioritization. Motivated by this concern, we design a contention-resolution algorithm where messages have delivery deadlines. Unit-length messages dynamically arrive over time, each with a corresponding delivery deadline that demarcates a window of time wherein the message must be transmitted successfully. We consider inputs that have a feasible schedule, even if message sizes increase by a constant factor. In this setting, we provide an algorithm which guarantees that each message succeeds by its deadline with high probability in its window size.
AB - In the contention-resolution problem, multiple players contend for access to a shared resource. Contention resolution is used in wireless networks, where messages must be transmitted on a shared communication channel. When two or more messages are transmitted at the same time, a collision occurs, and none of the transmissions succeed. Much of the theoretical work on contention resolution has focused on efficiently resolving collisions in order to obtain throughput guarantees. However, in modern-day networks, not all traffic is treated equally. Instead, messages are often handled according to a notion of priority. While throughput remains an important metric, it fails to capture this increasingly-common scenario of traffic prioritization. Motivated by this concern, we design a contention-resolution algorithm where messages have delivery deadlines. Unit-length messages dynamically arrive over time, each with a corresponding delivery deadline that demarcates a window of time wherein the message must be transmitted successfully. We consider inputs that have a feasible schedule, even if message sizes increase by a constant factor. In this setting, we provide an algorithm which guarantees that each message succeeds by its deadline with high probability in its window size.
KW - contention resolution
KW - deadlines
KW - randomized backoff
KW - scheduling
UR - https://www.scopus.com/pages/publications/85088654200
U2 - 10.1145/3350755.3400239
DO - 10.1145/3350755.3400239
M3 - Conference contribution
AN - SCOPUS:85088654200
T3 - Annual ACM Symposium on Parallelism in Algorithms and Architectures
SP - 23
EP - 35
BT - SPAA 2020 - Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures
PB - Association for Computing Machinery
T2 - 32nd ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2020
Y2 - 15 July 2020 through 17 July 2020
ER -