Abstract | ||
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Efficient and flexible server provisioning is one of the most important criteria in measuring quality of cloud service. In order to save time and mitigate risk, images are set up as templates. And to provision a server, the cloud service provider replicates a selected image and then customize it to fulfill the server request. Therefore image set-up is vital to the efficiency and flexibility of cloud service. In this paper, we propose an optimization model of setting up images and mapping server request to correct image in server provisioning, with the purpose of minimizing total cost of setting up images, maintaining images and provisioning servers. After that, we compare the proposed approach with the vanilla image approach in server provisioning with numerical experiment. |
Year | DOI | Venue |
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2015 | 10.1109/SOLI.2015.7367593 | 2015 IEEE International Conference on Service Operations And Logistics, And Informatics (SOLI) |
Keywords | DocType | Citations |
optimization model,image set up,server provisioning,cloud service quality,cloud service provider,server request mapping,total cost minimization,vanilla image approach | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qinhua Wang | 1 | 16 | 6.45 |
wei lin | 2 | 0 | 0.34 |
zongying zhang | 3 | 0 | 0.68 |
Changrui Ren | 4 | 82 | 14.85 |
sai zeng | 5 | 2 | 0.72 |
christopher c young | 6 | 0 | 0.34 |