Discovering dispatching rules using data mining

Discovering dispatching rules using data mining

0.00 Avg rating0 Votes
Article ID: iaor2008931
Country: United Kingdom
Volume: 8
Issue: 6
Start Page Number: 515
End Page Number: 527
Publication Date: Dec 2005
Journal: Journal of Scheduling
Authors: ,
Keywords: scheduling
Abstract:

This paper introduces a novel methodology for generating scheduling rules using a data-driven approach. We show how to use data mining to discover previously unknown dispatching rules by applying the learning algorithms directly to production data. This approach involves preprocessing of historic scheduling data into an appropriate data file, discovery of key scheduling concepts, and representation of the data mining results in a way that enables its use for job scheduling. We also consider how by using this new approach unexpected knowledge and insights call be obtained, in a manner that would not be possible if an explicit model of the system or the basic scheduling rules had to be obtained beforehand. All of our results are illustrated via numerical examples and experiments on simulated data.

Reviews

Required fields are marked *. Your email address will not be published.