SEH: Size Estimate Hedging for Single-Server Queues
Abstract
For a single server system, Shortest Remaining Processing Time (SRPT) is an optimal size-based policy. In this paper, we discuss scheduling a single-server system when exact information about the jobs' processing times is not available. When the SRPT policy uses estimated processing times, the underestimation of large jobs can significantly degrade performance. We propose a simple heuristic, Size Estimate Hedging (SEH), that only uses estimated processing times for scheduling decisions. A job's priority is increased dynamically according to an SRPT rule until it is determined that it is underestimated, at which time the priority is frozen. Numerical results suggest that SEH has desirable performance for estimation error variance that is consistent with what is seen in practice.
Keywords
Cite
@article{arxiv.2101.00007,
title = {SEH: Size Estimate Hedging for Single-Server Queues},
author = {Maryam Akbari-Moghaddam and Douglas G. Down},
journal= {arXiv preprint arXiv:2101.00007},
year = {2023}
}
Comments
For a published version of this paper refer to Quantitative Evaluation of Systems: 18th International Conference, https: //doi.org/10.1007/978-3-030-85172-9_9