ANALYSIS OF MARKOV-MODULATED FLUID POLLING SYSTEMS WITH GATED DISCIPLINE
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作者:
Saffer, Zsolt
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Vienna Univ Technol, Inst Stat & Math Methods Econ, Wiedner Hauptstr 8-10, A-1040 Vienna, AustriaVienna Univ Technol, Inst Stat & Math Methods Econ, Wiedner Hauptstr 8-10, A-1040 Vienna, Austria
Saffer, Zsolt
[1
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Telek, Miklos
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MTA BME Informat Syst Res Grp, Magyar Tudosok Korutja 2, H-1117 Budapest, HungaryVienna Univ Technol, Inst Stat & Math Methods Econ, Wiedner Hauptstr 8-10, A-1040 Vienna, Austria
Telek, Miklos
[2
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Horvath, Gabor
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Budapest Univ Technol & Econ, Dept Networked Syst & Serv, Magyar Tudosok Korutja 2, H-1117 Budapest, HungaryVienna Univ Technol, Inst Stat & Math Methods Econ, Wiedner Hauptstr 8-10, A-1040 Vienna, Austria
Horvath, Gabor
[3
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机构:
[1] Vienna Univ Technol, Inst Stat & Math Methods Econ, Wiedner Hauptstr 8-10, A-1040 Vienna, Austria
[2] MTA BME Informat Syst Res Grp, Magyar Tudosok Korutja 2, H-1117 Budapest, Hungary
[3] Budapest Univ Technol & Econ, Dept Networked Syst & Serv, Magyar Tudosok Korutja 2, H-1117 Budapest, Hungary
In this paper we present two different analytical descriptions of the fluid polling model with Markov modulated load and gated discipline. The fluid arrival to the stations is modulated by a common continuous-time Markov chain (the special case when the modulating Markov chains are independent is also included). The fluid is removed at the stations during the service period by a station dependent constant rate. The first analytical description is based on the relationships of steady-state fluid levels at embedded server arrival and departure epochs. We derive the steady-state vector Laplace transform of the fluid levels at the stations at arbitrary epoch and its moments. The second analytical description applies the method of supplementary variables and results in differential equations, from which the joint density function of the fluid levels can be obtained. We also propose computational methods for both analytical descriptions and provide numerical examples to illustrate the numeric computations.