The Price of Anarchy in the Queueing Models.

49 p.

Bibliographic Details
Main Author: Kejun Wang
Other Authors: Chen Ning
Format: Thesis
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/57388
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Kejun Wang
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description 49 p.
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spelling ntu-10356/573882023-02-28T23:44:57Z The Price of Anarchy in the Queueing Models. Kejun Wang Chen Ning School of Physical and Mathematical Sciences DRNTU::Science::Mathematics::Discrete mathematics::Algorithms 49 p. An important topic in game theory is inefficiency of Nash equilibria. In this thesis, we apply this topic to the queueing theory. Queueing theory has a long history, but a game-theoretic study of this theory appears only in recent years. Here we discuss two kinds of models under the steady-state condition: an observable single-server system and an unobservable multi-server system. We analyze the inefficiency of Nash equilibrium outcome given by self-interested customers against the social optimum in these models. We also study a new model at a transient state where the service time is fixed, but there are other factors where the individuals may deviate from the social optimal choice. In this thesis, the inefficiency of Nash equilibrium is measured by PoA (price of anarchy). Master of Science 2014-04-07T10:21:23Z 2014-04-07T10:21:23Z 2011 2011 Thesis http://hdl.handle.net/10356/57388 Nanyang Technological University application/pdf
spellingShingle DRNTU::Science::Mathematics::Discrete mathematics::Algorithms
Kejun Wang
The Price of Anarchy in the Queueing Models.
title The Price of Anarchy in the Queueing Models.
title_full The Price of Anarchy in the Queueing Models.
title_fullStr The Price of Anarchy in the Queueing Models.
title_full_unstemmed The Price of Anarchy in the Queueing Models.
title_short The Price of Anarchy in the Queueing Models.
title_sort price of anarchy in the queueing models
topic DRNTU::Science::Mathematics::Discrete mathematics::Algorithms
url http://hdl.handle.net/10356/57388
work_keys_str_mv AT kejunwang thepriceofanarchyinthequeueingmodels
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