Data Center Network Throughput Analysis using Queueing Petri Nets
P. Rygielski, and S. Kounev. 34th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops). 4th International Workshop on Data Center Performance, (DCPerf 2014), page 100--105. (June 2014)
Abstract
In this paper, we address the problem of performance analysis in computer networks. We present a metamodel designed for the performance modeling of network infrastructures in modern data centers. Instances of our metamodel can be automatically transformed into stochastic simulation models for performance prediction. In this paper, we present the transformation to Queueing Petri Nets (QPNs) and simulate them using SimQPN simulator. We show that despite the high level of abstraction of the QPNs, we are able to estimate the utilization of resources with good accuracy within a short time.
34th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops). 4th International Workshop on Data Center Performance, (DCPerf 2014)
%0 Conference Paper
%1 RyKo2014-DCPerf-DNI2QPN
%A Rygielski, Piotr
%A Kounev, Samuel
%B 34th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops). 4th International Workshop on Data Center Performance, (DCPerf 2014)
%D 2014
%K Analytical_and_simulation-based_analysis DNI Formal_architecture_modeling Meta-models Networking Performance Prediction QPME QPME_Bibliography QPN Resource_management Simulation descartes t_workshop myown
%P 100--105
%T Data Center Network Throughput Analysis using Queueing Petri Nets
%X In this paper, we address the problem of performance analysis in computer networks. We present a metamodel designed for the performance modeling of network infrastructures in modern data centers. Instances of our metamodel can be automatically transformed into stochastic simulation models for performance prediction. In this paper, we present the transformation to Queueing Petri Nets (QPNs) and simulate them using SimQPN simulator. We show that despite the high level of abstraction of the QPNs, we are able to estimate the utilization of resources with good accuracy within a short time.
@inproceedings{RyKo2014-DCPerf-DNI2QPN,
abstract = {In this paper, we address the problem of performance analysis in computer networks. We present a metamodel designed for the performance modeling of network infrastructures in modern data centers. Instances of our metamodel can be automatically transformed into stochastic simulation models for performance prediction. In this paper, we present the transformation to Queueing Petri Nets (QPNs) and simulate them using SimQPN simulator. We show that despite the high level of abstraction of the QPNs, we are able to estimate the utilization of resources with good accuracy within a short time.},
added-at = {2020-04-05T23:09:39.000+0200},
author = {Rygielski, Piotr and Kounev, Samuel},
biburl = {https://www.bibsonomy.org/bibtex/205fac7a9342cfdd1d96eb0463c0c97b9/samuel.kounev},
booktitle = {34th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops). 4th International Workshop on Data Center Performance, (DCPerf 2014)},
interhash = {ab9e0ee237baf79197c0bd2dfd42abf9},
intrahash = {05fac7a9342cfdd1d96eb0463c0c97b9},
keywords = {Analytical_and_simulation-based_analysis DNI Formal_architecture_modeling Meta-models Networking Performance Prediction QPME QPME_Bibliography QPN Resource_management Simulation descartes t_workshop myown},
month = {June},
pages = {100--105},
timestamp = {2020-10-08T04:00:29.000+0200},
title = {{Data Center Network Throughput Analysis using Queueing Petri Nets}},
year = 2014
}