TY - JOUR
T1 - On-line load balancing
AU - Azar, Yossi
AU - Broder, Andrei Z.
AU - Karlin, Anna R.
PY - 1994/8/1
Y1 - 1994/8/1
N2 - The setup for our problem consists of n servers that must complete a set of tasks. Each task can be handled only by a subset of the servers, requires a different level of service, and once assigned cannot be reassigned. We make the natural assumption that the level of service is known at arrival time, but that the duration of service is not. The on-line load balancing problem is to assign each task to an appropriate server in such a way that the maximum load on the servers is minimized. In this paper we derive matching upper and lower bounds for the competitive ratio of the on-line greedy algorithm for this problem, namely, [(3n) 2 3/2](1+o(1)), and derive a lower bound, Ω(n 1 2), for any other deterministic or randomized on-line algorithm.
AB - The setup for our problem consists of n servers that must complete a set of tasks. Each task can be handled only by a subset of the servers, requires a different level of service, and once assigned cannot be reassigned. We make the natural assumption that the level of service is known at arrival time, but that the duration of service is not. The on-line load balancing problem is to assign each task to an appropriate server in such a way that the maximum load on the servers is minimized. In this paper we derive matching upper and lower bounds for the competitive ratio of the on-line greedy algorithm for this problem, namely, [(3n) 2 3/2](1+o(1)), and derive a lower bound, Ω(n 1 2), for any other deterministic or randomized on-line algorithm.
UR - http://www.scopus.com/inward/record.url?scp=0028482750&partnerID=8YFLogxK
U2 - 10.1016/0304-3975(94)90153-8
DO - 10.1016/0304-3975(94)90153-8
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AN - SCOPUS:0028482750
SN - 0304-3975
VL - 130
SP - 73
EP - 84
JO - Theoretical Computer Science
JF - Theoretical Computer Science
IS - 1
ER -