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Original scientific paper

https://doi.org/10.7305/automatika.54-4.465

Analysis of Sojourn Times in QBD Model of a Thread Pool

Mirko Randić orcid id orcid.org/0000-0002-1844-0317 ; Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000, Zagreb, Croatia
Bruno Blašković orcid id orcid.org/0000-0001-9612-4769 ; Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000, Zagreb, Croatia
Šandor Dembitz orcid id orcid.org/0000-0002-0642-845X ; Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000, Zagreb, Croatia


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Abstract

Modern Web or database servers are usually designed with a thread pool as a major component for servicing. Controlling of such servers, as well as defining adequate resource management policies, with the aim of minimizing requests’ sojourn times presuppose the existence of performance models of thread-pooled systems. In this paper a queuing model of a thread pool is formulated along with a set of underlying assumptions and definitions used. Requests are abstracted in such a way that they are characterized by service time distribution and CPU consumption parameter. The model is defined as a Quasi-Birth-and-Death (QBD) process. Stability conditions for the model are derived and an analytic method based on generating functions for calculation of expected sojourn times is presented. The analytical results thus obtained are evaluated in a developed experimental environment. The environment contains a synthetic workload generator and an instrumented server application based on a standard Java 7 ThreadPoolExecutor thread pool. Sojourn time measurements confirm the theoretical results and also give additional insight into sojourn times related to more realistic workload cases that otherwise would be difficult to analyze formally.

Keywords

Thread pool; Sojourn time; CPU-bound tasks; Quasi-Birth-and-Death process; Server application

Hrčak ID:

114768

URI

https://hrcak.srce.hr/114768

Publication date:

14.1.2014.

Article data in other languages: croatian

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