Online Revenue Maximization for Server Pricing

Efficient and truthful mechanisms to price resources on remote servers/machines has been the subject of much work in recent years due to the importance of the cloud market. This paper considers revenue maximization in the online stochastic setting with non-preemptive jobs and a unit capacity server....

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Boodaghians, Shant, Fusco, Federico, Leonardi, Stefano, Mansour, Yishay, Mehta, Ruta
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 01.10.2019
Subjects:	Computation Maximization Optimization Polynomials Preempting Pricing Revenue Servers
ISSN:	2331-8422
Online Access:	Get full text
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