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Digital
Library of the European Council for Modelling
and Simulation |
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Title: |
Simulation Of A Queueing Model Useful In
Crowdsourcing |
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Authors: |
Srinivas R.
Chakravarthy, Serife Ozkar |
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Published in:
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(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás
Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and
Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
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Citation
format: |
Srinivas
R. Chakravarthy, Serife Ozkar (2017). Simulation Of A Queueing Model Useful
In Crowdsourcing, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika,
Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs,
János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0183 |
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DOI: |
https://doi.org/10.7148/2017-0183 |
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Abstract: |
In
this paper we study a multi-server queueing model in the context of
crowdsourcing useful in service sectors. There are two types of arrivals to
the system such that one group of customers after getting service from the
system may serve (with a certain probability) another group. Through
simulation we point out, even for a small value of this probability, the
significant advantage in considering crowdsourcing by offering more traffic
load (through increasing the rate of online customers without violating the
stability condition) to the system resulting in more customers served (which
in turn increasing the revenues when cost/profits are incorporated). Also,
the role of correlation, especially a positive one, present in the
inter-arrival times in the system performance measures is highlighted. |
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