Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
SIAM Journal on Computing
Approximation in stochastic scheduling: the power of LP-based priority policies
Journal of the ACM (JACM)
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Fighting against two adversaries: page migration in dynamic networks
Proceedings of the sixteenth annual ACM symposium on Parallelism in algorithms and architectures
Random Structures & Algorithms
On an Online Spanning Tree Problem in Randomly Weighted Graphs
Combinatorics, Probability and Computing
Models and Algorithms for Stochastic Online Scheduling
Mathematics of Operations Research
Average-Case and Smoothed Competitive Analysis of the Multilevel Feedback Algorithm
Mathematics of Operations Research
The Influence of Link Restrictions on (Random) Selfish Routing
SAGT '08 Proceedings of the 1st International Symposium on Algorithmic Game Theory
Tradeoffs and average-case equilibria in selfish routing
ESA'07 Proceedings of the 15th annual European conference on Algorithms
Stochastic online scheduling on parallel machines
WAOA'04 Proceedings of the Second international conference on Approximation and Online Algorithms
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(MATH) We present a new average case analysis for the problem of scheduling n jobs on $m$ machines so that the sum of job completion times is minimized. Our analysis transfers the concept of competitive analysis --- which is a typical worst case notion --- to the average case. We show that the classic SEPT scheduling strategy with &OHgr;(n) worst case competitive ratio achieves ${\cal O}(1)$ on the average. Moreover, bounds on the probability distribution of the competitive ratio are derived which provide an in-depth understanding of the stochastic version of the min sum scheduling problem.