Reinforcement Learning Approach for Resource Allocation in Cloud Computing 


Vol. 40,  No. 4, pp. 653-658, Apr.  2015


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  Abstract

Cloud service is one of major challenges in IT industries. In cloud environment, service providers predict dynamic user demands and provision resources to guarantee the QoS to cloud users. The conventional prediction models guarantee the QoS to cloud user, but don’t guarantee profit of service providers. In this paper, we propose a new resource allocation mechanism using Q-learning algorithm to provide the QoS to cloud user and guarantee profit of service providers. To evaluate the performance of our mechanism, we compare the total expense and the VM provisioning delay with the conventional techniques with real data.

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  Cite this article

[IEEE Style]

Y. Choi, Y. Lim, J. Park, "Reinforcement Learning Approach for Resource Allocation in Cloud Computing," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 4, pp. 653-658, 2015. DOI: .

[ACM Style]

Yeongho Choi, Yujin Lim, and Jaesung Park. 2015. Reinforcement Learning Approach for Resource Allocation in Cloud Computing. The Journal of Korean Institute of Communications and Information Sciences, 40, 4, (2015), 653-658. DOI: .

[KICS Style]

Yeongho Choi, Yujin Lim, Jaesung Park, "Reinforcement Learning Approach for Resource Allocation in Cloud Computing," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 4, pp. 653-658, 4. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880