An Efficient Load Balancing Scheme for Gaming Server Using Proximal Policy Optimization Algorithm
Hye-Young Kim, Journal of Information Processing Systems Vol. 17, No. 2, pp. 297-305, Apr. 2021
https://doi.org/10.3745/JIPS.03.0158
Keywords: Dynamic allocation, greedy algorithm, load balancing, proximal policy optimization, Reinforcement Learning
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Cite this article
[APA Style]
Kim, H. (2021). An Efficient Load Balancing Scheme for Gaming Server Using Proximal Policy Optimization Algorithm. Journal of Information Processing Systems, 17(2), 297-305. DOI: 10.3745/JIPS.03.0158.
[IEEE Style]
H. Kim, "An Efficient Load Balancing Scheme for Gaming Server Using Proximal Policy Optimization Algorithm," Journal of Information Processing Systems, vol. 17, no. 2, pp. 297-305, 2021. DOI: 10.3745/JIPS.03.0158.
[ACM Style]
Hye-Young Kim. 2021. An Efficient Load Balancing Scheme for Gaming Server Using Proximal Policy Optimization Algorithm. Journal of Information Processing Systems, 17, 2, (2021), 297-305. DOI: 10.3745/JIPS.03.0158.