TY - GEN
T1 - Rate vs. buffer size
T2 - SPAA'07: 19th Annual Symposium on Parallelism in Algorithms and Architectures
AU - Rosén, Adi
AU - Scalosub, Gabriel
PY - 2007/1/1
Y1 - 2007/1/1
N2 - We consider packet networks with limited buffer space at the nodes, and are interested in the question of maximizing the number of packets that arrive to destination rather than being dropped due to full buffers. We initiate a more refined analysis of the throughput competitive ratio of admission and scheduling policies in the Competitive Network Throughput model [2], taking into account not only the network size but also the buffer size and the injection rate of the traffic. We specifically consider the problem of information gathering on the line, with limited buffer space, under adversarial traffic. We examine how the buffer size and the injection rate of the traffic affect the performance of the greedy protocol for this problem. We establish upper bounds on the competitive ratio of the greedy protocol in terms of the network size, the buffer size, and the adversary's rate, and present lower bounds which are tight up to constant factors. These results show, for example, that provisioning the network with sufficiently large buffers may substantially improve the performance of the greedy protocol in some cases, whereas for some high-rate adversaries, using larger buffers does not have any effect on the competitive ratio of the protocol.
AB - We consider packet networks with limited buffer space at the nodes, and are interested in the question of maximizing the number of packets that arrive to destination rather than being dropped due to full buffers. We initiate a more refined analysis of the throughput competitive ratio of admission and scheduling policies in the Competitive Network Throughput model [2], taking into account not only the network size but also the buffer size and the injection rate of the traffic. We specifically consider the problem of information gathering on the line, with limited buffer space, under adversarial traffic. We examine how the buffer size and the injection rate of the traffic affect the performance of the greedy protocol for this problem. We establish upper bounds on the competitive ratio of the greedy protocol in terms of the network size, the buffer size, and the adversary's rate, and present lower bounds which are tight up to constant factors. These results show, for example, that provisioning the network with sufficiently large buffers may substantially improve the performance of the greedy protocol in some cases, whereas for some high-rate adversaries, using larger buffers does not have any effect on the competitive ratio of the protocol.
KW - Buffer management
KW - Competitive analysis
KW - Competitive network throughput
KW - Information gathering
KW - Online algorithms
UR - http://www.scopus.com/inward/record.url?scp=35248889466&partnerID=8YFLogxK
U2 - 10.1145/1248377.1248430
DO - 10.1145/1248377.1248430
M3 - Conference contribution
AN - SCOPUS:35248889466
SN - 159593667X
SN - 9781595936677
T3 - Annual ACM Symposium on Parallelism in Algorithms and Architectures
SP - 305
EP - 314
BT - SPAA'07
PB - Association for Computing Machinery
Y2 - 9 June 2007 through 11 June 2007
ER -