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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Vydané v:	arXiv.org
Hlavní autori:	Boodaghians, Shant, Fusco, Federico, Leonardi, Stefano, Mansour, Yishay, Mehta, Ruta
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 01.10.2019
Predmet:	Computation Maximization Optimization Polynomials Preempting Pricing Revenue Servers
ISSN:	2331-8422
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