TY - JOUR
T1 - A randomized online algorithm for bandwidth utilization
AU - Arora, Sanjeev
AU - Brinkman, Bo
N1 - Funding Information:
*Correspondence to: Sanjeev Arora, E-mail: [email protected]; Bo Brinkman, E-mail: [email protected] †Supported by a David and Lucile Packard Foundation Fellowship and NSF grants CCR-0098180, and ITR CCR-0205594. ‡Supported by a Frances Upton Fellowship.
PY - 2004/5
Y1 - 2004/5
N2 - Protocols for data transmission over an IP computer network should not only lead to efficient network utilization but also be fair to different users. Current networks accomplish these goals by some form of end-to-end congestion control. Existing protocols, however, assume somewhat altruistic behavior from hosts. Karp et al. (2000) have initiated a study of whether or not a single host's optimum strategy (in a system where other hosts are well behaved) is altruistic. We carry this exploration further by developing an efficient randomized algorithm for bandwidth utilization in their model. The competitive ratio of this algorithm is optimal up to a constant factor. Karp et al. had earlier studied the deterministic case and left open the randomized case. What may be of some interest is that our algorithm is essentially the classical multiplicative increase, multiplicative decrease strategy, which is very aggressive and non-altruistic.
AB - Protocols for data transmission over an IP computer network should not only lead to efficient network utilization but also be fair to different users. Current networks accomplish these goals by some form of end-to-end congestion control. Existing protocols, however, assume somewhat altruistic behavior from hosts. Karp et al. (2000) have initiated a study of whether or not a single host's optimum strategy (in a system where other hosts are well behaved) is altruistic. We carry this exploration further by developing an efficient randomized algorithm for bandwidth utilization in their model. The competitive ratio of this algorithm is optimal up to a constant factor. Karp et al. had earlier studied the deterministic case and left open the randomized case. What may be of some interest is that our algorithm is essentially the classical multiplicative increase, multiplicative decrease strategy, which is very aggressive and non-altruistic.
KW - Congestion control
KW - Online algorithms
UR - http://www.scopus.com/inward/record.url?scp=3543128312&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=3543128312&partnerID=8YFLogxK
U2 - 10.1023/B:JOSH.0000019680.51396.32
DO - 10.1023/B:JOSH.0000019680.51396.32
M3 - Article
AN - SCOPUS:3543128312
SN - 1094-6136
VL - 7
SP - 187
EP - 194
JO - Journal of Scheduling
JF - Journal of Scheduling
IS - 3
ER -