Matrix network analyzer: a new decomposition algorithm for phase-type queueing networks (Work in progress paper)
Author(s)
Li, Zhuoyuan
Casale, Giuliano
Type
Conference Paper
Abstract
This paper proposes a new traffic decomposition method
called MNA to solve multi-class queueing networks with
first-come first-serve stations having phase-type (PH) ser-
vice, which generalizes the classic QNA method by Whitt.
MNA not only supports open queueing networks but also
closed networks, which are useful to model concurrency lim-
its in software systems. Using validation models, we show
that under low SCV of service time and inter-arrival time,
the new method is on average more accurate than QNA.
Therefore, MNA can provide better software performance
prediction for quality-of-service management tasks.
called MNA to solve multi-class queueing networks with
first-come first-serve stations having phase-type (PH) ser-
vice, which generalizes the classic QNA method by Whitt.
MNA not only supports open queueing networks but also
closed networks, which are useful to model concurrency lim-
its in software systems. Using validation models, we show
that under low SCV of service time and inter-arrival time,
the new method is on average more accurate than QNA.
Therefore, MNA can provide better software performance
prediction for quality-of-service management tasks.
Date Issued
2024-05
Date Acceptance
2024-02-25
Citation
ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024
ISBN
9798400704451
Publisher
ACM
Journal / Book Title
ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering
Copyright Statement
Copyright © 2024 ACM. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Identifier
https://dl.acm.org/doi/10.1145/3629527.3651431
Source
15th ACM/SPEC ICPE 2024 Emerging Research Track (ICPE 2024)
Publication Status
Published
Start Date
2024-05-07
Finish Date
2024-05-11
Coverage Spatial
London, UK
Date Publish Online
2024-05-07