Resource Prediction Technique based on Expected Value in Cloud Computing


KIPS Transactions on Computer and Communication Systems, Vol. 4, No. 3, pp. 81-84, Mar. 2015
10.3745/KTCCS.2015.4.3.81,   PDF Download:

Abstract

Cloud service is one of major technologies in modern IT business. Due to the dynamics of user demands, service providers need VM(Virtual Machine) provisioning mechanism to predict the amount of resources demanded by cloud users for the next service and to prepare the resources. VM provisioning provides the QoS to cloud user and maximize the revenue of a service provider by minimizing the expense. In this paper, we propose a new VM provisioning technique to minimize the total expense of a service provider by minimizing the expected value of the expense based on the predicted demands of users. To evaluate the effectiveness of our prediction technique, we compare the total expense of our technique with these of the other prediction techniques with a series of real trace data.


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Cite this article
[IEEE Style]
Y. H. Cho and Y. J. Lim, "Resource Prediction Technique based on Expected Value in Cloud Computing," KIPS Transactions on Computer and Communication Systems, vol. 4, no. 3, pp. 81-84, 2015. DOI: 10.3745/KTCCS.2015.4.3.81.

[ACM Style]
Yeong Ho Cho and Yu Jin Lim. 2015. Resource Prediction Technique based on Expected Value in Cloud Computing. KIPS Transactions on Computer and Communication Systems, 4, 3, (2015), 81-84. DOI: 10.3745/KTCCS.2015.4.3.81.