학술논문

Improving prediction of computational job execution times with machine learning.
Document Type
Article
Source
Concurrency & Computation: Practice & Experience; 1/25/2024, Vol. 36 Issue 2, p1-19, 19p
Subject
MACHINE learning
FEATURE selection
WORKFLOW management
WORKFLOW
ELECTRONIC data processing
FORECASTING
PRODUCTION scheduling
SYMBOLIC computation
Language
ISSN
15320626
Abstract
Copyright of Concurrency & Computation: Practice & Experience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)