The impact of predictive inaccuracies on execution scheduling

Research output: Contribution to journalArticlepeer-review

Authors

Colleges, School and Institutes

External organisations

  • University of Warwick

Abstract

This paper investigates the underlying impact of predictive inaccuracies on execution scheduling, with particular reference to execution time predictions. This study is conducted from two perspectives: from that of job selection and from that of resource allocation, both of which are fundamental components in execution scheduling. A new performance metric, termed the degree of misperception, is introduced to express the probability that the predicted execution times of jobs display different ordering characteristics from their real execution times due to inaccurate prediction. Specific formulae are developed to calculate the degree of misperception in both job selection and resource allocation scenarios. The parameters which influence the degree of misperception are also extensively investigated. The results presented in this paper are of significant benefit to scheduling approaches that take into account predictive data; the results are also of importance to the application of these scheduling techniques to real-world high-performance systems.

Bibliographic note

Funding Information: This work is sponsored in part by grants from the NASA AMES Research Center (administrated by USARDSG, Contract No. N68171-01-C-9012), the EPSRC (Contract No. GR/R47424/01) and the EPSRC e-Science Core Programme (Contract No. GR/S03058/01).

Details

Original languageEnglish
Pages (from-to)127-139
Number of pages13
JournalPerformance Evaluation
Volume60
Issue number1-4
Publication statusPublished - May 2005

Keywords

  • Execution time, Job selection, Performance evaluation, Performance prediction, Resource allocation, Scheduling