Abstract
Cloud service selection and financial expense are two main concerns of users considering adoption of cloud computing services. In this paper, we propose a novel cloud federation that is cognitive to the dynamic prices. The cloud federation system first determines on which cloud services should the user applications be deployed. Then, when a cloud provider is charging too high for a VM, the proposed system automatically migrates user tasks to a cloud system that is charging at a lower rate. We discuss the architectural framework and platform design, provide a mathematic formulation and investigate a total service fee minimization approach with privacy constraints. Preliminary simulation results demonstrate the proposed system can lower the cost of cloud services by exploiting the advantages of different price policies provided by multiple cloud providers.
Original language | English |
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Title of host publication | Proceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015 |
Publisher | IEEE |
Pages | 298-305 |
Number of pages | 8 |
ISBN (Electronic) | 9781467395601 |
DOIs | |
Publication status | Published - 1 Feb 2016 |
Event | 7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015 - Robson Square Campus of the University of British Columbia, Vancouver, Canada Duration: 30 Nov 2015 → 3 Dec 2015 |
Conference
Conference | 7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015 |
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Country/Territory | Canada |
City | Vancouver |
Period | 30/11/15 → 3/12/15 |
Keywords
- Cloud Computing
- Cognitive
- Inter-Cloud
- Pricing
- Privacy
ASJC Scopus subject areas
- Computer Networks and Communications
- Computational Theory and Mathematics