Worst case bound of an LRF schedule for the mean weighted flow-time problem
SIAM Journal on Computing
SODA '92 Proceedings of the third annual ACM-SIAM symposium on Discrete algorithms
Approximation algorithms for bin packing: a survey
Approximation algorithms for NP-hard problems
Scheduling to minimize average completion time: off-line and on-line approximation algorithms
Mathematics of Operations Research
Online computation and competitive analysis
Online computation and competitive analysis
Algorithms for Scheduling Independent Tasks
Journal of the ACM (JACM)
Sequencing Tasks with Exponential Service Times to Minimize the Expected Flow Time or Makespan
Journal of the ACM (JACM)
Approximation in stochastic scheduling: the power of LP-based priority policies
Journal of the ACM (JACM)
A PTAS for Minimizing the Total Weighted Completion Time on Identical Parallel Machines
Mathematics of Operations Research
Scheduling independent tasks to reduce mean finishing time
Communications of the ACM
Convex quadratic and semidefinite programming relaxations in scheduling
Journal of the ACM (JACM)
Proceedings of the 5th International IPCO Conference on Integer Programming and Combinatorial Optimization
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Stochastic analyses for online combinatorial optimization problems
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Probabilistic Analysis of Online Bin Coloring Algorithms Via Stochastic Comparison
ESA '08 Proceedings of the 16th annual European symposium on Algorithms
CWS: a model-driven scheduling policy for correlated workloads
Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Average-case competitive analyses for one-way trading
Journal of Combinatorial Optimization
On robust online scheduling algorithms
Journal of Scheduling
A stochastic scheduling algorithm for precedence constrained tasks on Grid
Future Generation Computer Systems
On the robustness of graham's algorithm for online scheduling
WADS'07 Proceedings of the 10th international conference on Algorithms and Data Structures
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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 goal is to use the concept of competitive ratio---which is a typical worst case notion---also within an average case analysis. We show that the classic SEPT scheduling strategy with Ω(n) worst-case competitive ratio achieves an average of O(1) under several natural distributions, among them the exponential distribution. Our analysis technique allows to also roughly estimate the probability distribution of the competitive ratio. Thus, our result bridges the gap between worst case and average case performance guarantee.