Title :
Stochastic load balancing and related problems
Author :
Goel, Ashish ; Indyk, Piotr
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
We study the problems of makespan minimization (load balancing), knapsack, and bin packing when the jobs have stochastic processing requirements or sizes. If the jobs are all Poisson, we present a two approximation for the first problem using Graham´s rule, and observe that polynomial time approximation schemes can be obtained for the last two problems. If the jobs are all exponential, we present polynomial time approximation schemes for all three problems. We also obtain quasi-polynomial time approximation schemes for the last two problems if the jobs are Bernoulli variables
Keywords :
bin packing; computational complexity; minimisation; resource allocation; scheduling; stochastic processes; Bernoulli variables; Graham´s rule; Poisson jobs; bin packing; exponential jobs; knapsack problem; makespan minimization; polynomial time approximation schemes; quasi-polynomial time approximation schemes; stochastic load balancing; stochastic processing requirements; stochastic sizes; Approximation algorithms; Character generation; Computer science; Load management; Random variables; Stochastic processes;
Conference_Titel :
Foundations of Computer Science, 1999. 40th Annual Symposium on
Conference_Location :
New York City, NY
Print_ISBN :
0-7695-0409-4
DOI :
10.1109/SFFCS.1999.814632