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Authors:
Sururah A. Bello
Claudia Luethje
Christoph Reich
Keywords: Cloud Computing; Price Models; Expert System
Abstract:
Cloud Resource pricing has been known to be static. The rapid nature of resource deployment gave the impression that differential pricing might not be possible. This study shows how various factors (e.g., Social User Status, Cloud Provider Reputation, SLA Type, etc.) can be greatly used to achieve a dynamic pricing system in Cloud provisioning. An architecture of a resource price expert system has been developed, that com- bines mathematical relations, IF-clauses and Neural Networks to achieve a resource price model for cloud systems. Based on use cases the effectiveness of this solution is shown
Pages: 12 to 17
Copyright: Copyright (c) IARIA, 2014
Publication date: August 24, 2014
Published in: conference
ISSN: 2326-9383
ISBN: 978-1-61208-357-5
Location: Rome, Italy
Dates: from August 24, 2014 to August 28, 2014