Information and Computation
Theoretical Computer Science - Special issue on dynamic and on-line algorithms
Online computation and competitive analysis
Online computation and competitive analysis
Non-clairvoyant scheduling to minimize the average flow time on single and parallel machines
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
SIAM Journal on Computing
Developments from a June 1996 seminar on Online algorithms: the state of the art
Hi-index | 0.00 |
We analyze preemptive on-line scheduling against randomized adversaries, where the goal is only to finish an unknown distinguishedtarget job. The problem is motivatedb y a clinical gene search project, but it leads to theoretical questions of broader interest, including some natural but unusual probabilistic models. For some versions of our problem we get optimal competitive ratios, expressedb y given parameters of instances.