Optimising hidden stochastic PERT networks
File(s)
Accepted version
Author(s)
Pesu, T
Knottenbelt, WJ
Type
Conference Paper
Abstract
This paper introduces a technique for minimising subtask dispersion in hidden stochastic PERT networks. The technique improves on existing research in two ways. Firstly, it enables subtask dispersion reduction in DAG structures, whereas previous techniques have only been applicable to single-layer split-merge or fork-join systems. Secondly, the exact distributions of subtask processing times do not need to be known, so long as there is some means of generating samples. The technique is further extended to use a metric which trades off subtask dispersion and task response time.
Date Issued
2017-01-01
Date Acceptance
2016-10-25
Citation
ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 2017, pp.133-136
ISBN
9781631901416
Publisher
EAI
Start Page
133
End Page
136
Journal / Book Title
ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools
Copyright Statement
© 2016 EAI.
Source
10th EAI International Conference on Performance Evaluation Methodologies and Tools
Publication Status
Published
Start Date
2016-10-25
Finish Date
2016-10-28
Coverage Spatial
Taormina, Italy