Maximizing Cloud Revenue using Dynamic Pricing of Multiple Class Virtual Machines

The Infrastructure as a Service (IaaS) cloud industry that relies on leasing virtual machines (VMs) has significant portion of business values of finding the dynamic equilibrium between two conflicting phenomena: underutilization and surging congestion. Spot instance has been proposed as an elegant...

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Bibliographic Details
Published in:	IEEE transactions on cloud computing Vol. 9; no. 2; pp. 682 - 695
Main Authors:	Alzhouri, Fadi, Agarwal, Anjali, Liu, Yan
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE Computer Society 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Cloud computing Computational modeling Data centers dynamic price Dynamic programming Leasing Linear programming Markov processes Maximization maximizing revenue multiple classes Optimization Pricing Revenue spot instances Virtual environments virtual machines Virtual machining
ISSN:	2168-7161, 2372-0018
Online Access:	Get full text
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