Streaming Algorithms for Multitasking Scheduling with Shared Processing
Data Structures and Algorithms
2022-04-06 v1
Abstract
In this paper, we design the first streaming algorithms for the problem of multitasking scheduling on parallel machines with shared processing. In one pass, our streaming approximation schemes can provide an approximate value of the optimal makespan. If the jobs can be read in two passes, the algorithm can find the schedule with the approximate value. This work not only provides an algorithmic big data solution for the studied problem, but also gives an insight into the design of streaming algorithms for other problems in the area of scheduling.
Cite
@article{arxiv.2204.01970,
title = {Streaming Algorithms for Multitasking Scheduling with Shared Processing},
author = {Bin Fu and Yumei Huo and Hairong Zhao},
journal= {arXiv preprint arXiv:2204.01970},
year = {2022}
}