• Title/Summary/Keyword: Massively Multiplayer Online(MMO)

Search Result 3, Processing Time 0.017 seconds

Design of an Architecture for Massively Multiplayer Online Game Server using Multimedia Storage Server (Multimedia Storage Server를 응용한 MMO 게임 서버 구조에 대한 설계)

  • 황요한;김동균;장인걸;신동일;김동현
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2002.10d
    • /
    • pp.211-213
    • /
    • 2002
  • 온라인 게임(online game)은 초고속 통신망의 보급과 기존의 1인용 게임(Single-player game)의 인공지능에서 느낄 수 없었던 즐거움을 제공함으로써 급속도로 보급되었다. 또한 최근의 온라인 게임 시장은 그래픽 기술을 비롯한 하드웨어의 발달로 2D에서 3D로 옮겨가고 있다. 따라서 이러한 추세에 따라 온라인 게임은 보다 많은 멀티미디어 데이터를 필요로 하게 되었다. 이에 Multimedia Storage Sever를 멀티플레이어 온라인 게임(Multi-player online game)에 적용함으로써 보다 효율적인 멀티플레이어 온라인 게임 서버를 구성하고자 한다.

  • PDF

Improving performance of MMO game server using io_uring I/O Model (io_uring I/O 모델을 통한 MMO 게임 서버의 성능개선)

  • Seong, SoYun;Jung, NaiHoon
    • Journal of Korea Game Society
    • /
    • v.20 no.6
    • /
    • pp.31-42
    • /
    • 2020
  • To accept more than thousands of concurrent players, MMO Game servers should use high performance I/O APIs provided by the OS. Despite the continuous improvement of the I/O models, these new I/O APIs are not applied on the applications immediately. In this study, we proposed a new MMO game server architecture using io_uring, Linux's new I/O model. We implemented the proposed architecture and achieved performance improvements of the server on a stress test benchmark with high concurrent connections.

Analytical Evaluation Model of the Gameplay in MMO Game - Focused on GOMS Model - (MMO 게임의 게임플레이 분석적 평가 모형 - GOMS 모형을 중심으로 -)

  • Song, Seung-Keun
    • Journal of Korea Multimedia Society
    • /
    • v.12 no.11
    • /
    • pp.1652-1660
    • /
    • 2009
  • The main objective of this research is to build a behavior prediction model of gameplay for MMO (Massively Multiplayer Online) game using the GOMS analysis method. GOMS analysis is an observational approach to HCI(Human Computer Interaction) to model and predict behaviors of a human operator in a highly interactive task. In this research, a pilot experiment was previously conducted with three skilled gamers. The gamers were provided with the goals and operators through the user's guide book, and they found methods and selection rules while being observed. Based on the results obtained from the pilot study, this research was expanded and the model was further tested with 30 subjects (game experts). The new outcomes revealed that the relevance of GOMS analysis for predicting selection rules is 96.25% according to the degree of abstraction and 77.35% based on the degree of complexity. This research will provide game designers with a new testing mechanism in the early development stages, in order to improve the quality of the game product.

  • PDF