JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
An Efficient Load Balancing Scheme for Gaming Server Using Proximal Policy Optimization Algorithm |
| 영문제목(English Title) |
An Efficient Load Balancing Scheme for Gaming Server Using Proximal Policy Optimization Algorithm |
| 저자(Author) |
Hye-Young Kim
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| 원문수록처(Citation) |
VOL 17 NO. 02 PP. 0297 ~ 0305 (2021. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Large amount of data is being generated in gaming servers due to the increase in the number of users and the variety of game services being provided. In particular, load balancing schemes for gaming servers are crucial consideration. The existing literature proposes algorithms that distribute loads in servers by mostly concentrating on load balancing and cooperative offloading. However, many proposed schemes impose heavy restrictions and assumptions, and such a limited service classification method is not enough to satisfy the wide range of service requirements. We propose a load balancing agent that combines the dynamic allocation programming method, a type of greedy algorithm, and proximal policy optimization, a reinforcement learning. Also, we compare performances of our proposed scheme and those of a scheme from previous literature, ProGreGA, by running a simulation.
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| 키워드(Keyword) |
Dynamic Allocation
Greedy Algorithm
Load Balancing
Proximal Policy Optimization
Reinforcement Learning
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| 파일첨부 |
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