Streaming Approximation Scheme for Minimizing Total Completion Time on Parallel Machines Subject to Varying Processing Capacity
Data Structures and Algorithms
2022-04-06 v1
Abstract
We study the problem of minimizing total completion time on parallel machines subject to varying processing capacity. In this paper, we develop an approximation scheme for the problem under the data stream model where the input data is massive and cannot fit into memory and thus can only be scanned for a few passes. Our algorithm can compute the approximate value of the optimal total completion time in one pass and output the schedule with the approximate value in two passes.
Cite
@article{arxiv.2204.01976,
title = {Streaming Approximation Scheme for Minimizing Total Completion Time on Parallel Machines Subject to Varying Processing Capacity},
author = {Bin Fu and Yumei Huo and Hairong Zhao},
journal= {arXiv preprint arXiv:2204.01976},
year = {2022}
}