TY - GEN
T1 - Overflow Management with Self-eliminations
AU - Rabinowitz, Assaf
AU - Rawitz, Dror
N1 - Publisher Copyright: © 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - We study admission control with packet redundancy, where large data items, called superpackets, exceed some Maximum Transmission Unit (MTU) and therefore are broken into several smaller packets. It is assumed that each superpacket is comprised of k packets, and that a superpacket is considered useful if at least (1 - β) k of its packets arrive at the receiving end, for some redundancy parameter β∈ [ 0, 1 ). Our goal is to maximize the total profit of useful superpackets, under an overloaded network, where we are forced to drop packets. Our starting point is an algorithm, called priority, which is based on assigning a random priority to each superpacket. This algorithm was shown to perform well when β= 0, with and without a buffer. However, the performance of priority deteriorates with the increase of β, since it delivers too many packets for high priority superpackets. To tackle this issue, we propose an online algorithm which introduces randomized self-elimination of packets, called pse. When there is no buffer, we show that the competitive ratio of pse is better than the competitive ratio of priority, for the case where (1 - β) 3· ρmax≥ 1, where ρmax is the maximal burst size-router capacity ratio. For real-world values (ρmax≤ 1.5 ), pse outperforms priority for β≥ 0.14. We also present simulation results, with a buffer, that demonstrate the behavior of pse in comparison with priority and tail-drop. It is shown that pse performs much better than priority when β is large. In fact, it is shown that pse behaves at least as good as both algorithms.
AB - We study admission control with packet redundancy, where large data items, called superpackets, exceed some Maximum Transmission Unit (MTU) and therefore are broken into several smaller packets. It is assumed that each superpacket is comprised of k packets, and that a superpacket is considered useful if at least (1 - β) k of its packets arrive at the receiving end, for some redundancy parameter β∈ [ 0, 1 ). Our goal is to maximize the total profit of useful superpackets, under an overloaded network, where we are forced to drop packets. Our starting point is an algorithm, called priority, which is based on assigning a random priority to each superpacket. This algorithm was shown to perform well when β= 0, with and without a buffer. However, the performance of priority deteriorates with the increase of β, since it delivers too many packets for high priority superpackets. To tackle this issue, we propose an online algorithm which introduces randomized self-elimination of packets, called pse. When there is no buffer, we show that the competitive ratio of pse is better than the competitive ratio of priority, for the case where (1 - β) 3· ρmax≥ 1, where ρmax is the maximal burst size-router capacity ratio. For real-world values (ρmax≤ 1.5 ), pse outperforms priority for β≥ 0.14. We also present simulation results, with a buffer, that demonstrate the behavior of pse in comparison with priority and tail-drop. It is shown that pse performs much better than priority when β is large. In fact, it is shown that pse behaves at least as good as both algorithms.
UR - http://www.scopus.com/inward/record.url?scp=85118136614&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-89240-1_9
DO - 10.1007/978-3-030-89240-1_9
M3 - منشور من مؤتمر
SN - 9783030892395
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 124
EP - 139
BT - Algorithms for Sensor Systems - 17th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2021, Proceedings
A2 - Gasieniec, Leszek
A2 - Klasing, Ralf
A2 - Radzik, Tomasz
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2021
Y2 - 9 September 2021 through 10 September 2021
ER -