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게임 스트리밍 환경에서 최대 부하 균등 및 자동 프레임 레이트 조절을 위한 클라이언트-서버 배정 방법

A Method for Client-Server Allocation for Maximum Load Balancing and Automatic Frame Rate Adjustment in a Game Streaming Environment

  • 김상철 (한국외국어대학교 컴퓨터 및 전자시스템 공학부)
  • Kim, Sangchul (Div. of Computer & Elec, System, Hankuk University of Foreign Studies)
  • 투고 : 2020.07.23
  • 심사 : 2020.08.13
  • 발행 : 2020.08.20

초록

최근 클라우드 기반 게이밍에서 게임 스트리밍에 대한 관심이 높다. 게임 스트리밍에서는 원격지의 게임 서버가 그래픽 렌더링 작업을 수행하고 렌더링 결과물인 씬 이미지들을 플레이어 장치에 인터넷을 통해 스트리밍하게 된다. 우리는 다중 게임 서버 기반의 게임 스트리밍 환경에서, 서버간의 GPU 부하 균등을 위한 CSA (Client-Server Allocation) 문제를 최적화 문제로 모델링하고, 그 해를 구하는 시뮬레이티드 어닐링 기반 방법을 제안한다. 우리 방법의 특징은, 네트워크 지연에 대한 제약을 고려한 것과, 필요시 신규 게임 세션의 프레임 레이트를 자동으로 하향 조절하는 기능을 지원하는 것이다.

Recently, interest in game streaming is high in cloud-based gaming. In game streaming, remote game servers perform graphics rendering and stream the resulting scene images to clients' device on the Internet. We model the client-server allocation (CSA) problem for balancing the GPU load between servers in a game streaming environment as an optimization problem, and propose a simulated annealing-based method. The features of our method are that the method takes into account the constraints on network delay and has the ability to automatically adjust the frame rate of game sessions if necessary.

키워드

참고문헌

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