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Multi-step ahead response time prediction for single server queuing systems

Publiceringsår: 2011
Språk: Engelska
Publikation/Tidskrift/Serie: [Host publication title missing]
Dokumenttyp: Konferensbidrag
Förlag: IEEE--Institute of Electrical and Electronics Engineers Inc.


Multi-step ahead response time prediction of CPU

constrained computing systems is vital for admission control,

overload protection and optimization of resource allocation in

these systems. CPU constrained computing systems such as web

servers can be modeled as single server queuing systems. These

systems are stochastic and nonlinear. Thus, a well-designed nonlinear

prediction scheme would be able to represent the dynamics

of such a system much better than a linear scheme. A nonlinear

autoregressive neural network with exogenous inputs based

multi-step ahead response time predictor has been developed.

The proposed estimator has many promising characteristics that

make it a viable candidate for being implemented in admission

control products for computing systems. It has a simple structure,

is nonlinear, supports multi-step ahead prediction, and works

very well under time variant and non-stationary scenarios such

as single server queuing systems under time varying mean arrival

rate. Performance of the proposed predictor is evaluated through

simulation. Simulations show that the proposed predictor is able

to predict the response times of single server queuing systems in

multi-step ahead with very good precision represented by very

small mean absolute and mean squared prediction errors.


  • Electrical Engineering, Electronic Engineering, Information Engineering
  • Control Engineering


The 16th IEEE Symposium on Computers and Communications (ISCC)
  • LCCC
  • Broadband Communications: Modelling and Control of Server Systems
  • Broadband Communication-lup-obsolete
  • LCCC-lup-obsolete

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