The asymptotic optimality of the LPT rule
Mathematics of Operations Research
Approximation results in parallel machines stochastic scheduling
Annals of Operations Research
New bounds for the identical parallel processor weighted flow time problem
Management Science
Turnpike optimality of Smith's Rule in parallel machines stochastic scheduling
Mathematics of Operations Research
Scheduling independent tasks to reduce mean finishing time
Communications of the ACM
Probabilistic analysis of the minimum weighted flowtime scheduling problem
Operations Research Letters
An approximate algorithm for a high-multiplicity parallel machine scheduling problem
Operations Research Letters
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Lower and upper bounds are derived for the NP-hard problem of scheduling n jobs on m parallel processors of different speed with an objective of minimizing weighted flow time. The bounds, which generalize well-known bounds for the identical processor problem, are helpful for understanding asymptotic properties. Asymptotic results for a deterministic model and a stochastic model of the uniform parallel processor weighted flow time problem are noted.