융합정보논문지 (Journal of Convergence for Information Technology)

중소기업융합학회 (Convergence Society for SMB)
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모바일 운영체제 Tizen에 대한 Unity 최적화 방안 평가

Evaluating Unity3D Optimization Ways for Mobile Operating System Tizen

  • 김영재 (충북대학교 소프트웨어학과) ;
  • 이상호 (충북대학교 소프트웨어학과)
  • Kim, Young-Jae (Department of Computer Science, Chungbuk National University) ;
  • Lee, Sang-Ho (Department of Computer Science, Chungbuk National University)
  • 투고 : 2017.11.30
  • 심사 : 2017.12.20
  • 발행 : 2017.12.31
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초록

현재 Android 운영체제에서는 효율성이 검증된 Unity 최적화 방법이 존재한다. 그러나 Tizen 운영체제는 기존의 Unity 최적화 방법이 Tizen 운영 체제에 적용될 수 있는지, 얼마나 효과적인지 알려진 바가 많지 않다. 이 연구에서는 기존에 검증된 Android 운영체제의 Unity 최적화 기법들을 Tizen 운영체제에 적용했을 때의 성능에 대해 분석한다. 이를 위해 기존의 Unity 최적화 방법을 Tizen 운영 체제에 적용할 수 있는지를 조사하고 해당 기법들의 효율성을 Unity Profiler를 통해 평가한다. 이를 통해 향후 기존의 Android 운영체제에 대한 Unity 최적화 방안들에 대한 심층적 평가를 추가적으로 진행하고자 한다.

The Android operating system currently has a proven method of Unity optimization. However, the Tizen operating system does not know how effective the existing Unity optimization method can be applied to the Tizen operating system and how effective it is. In this paper, we analyze the efficiency of applying Unity optimizing techniques of Android operating system to Tizen operating system. To get this purpose, this study investigates whether the existing Unity optimization method can be applied to Tizen operating system and evaluates the efficiency of the method through Unity Profiler. This research will allow us to further evaluate the Unity optimizations for the existing Android operating system in the future.

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참고문헌

  1. J. S. Lim, H. Kim, M. J. Lee, H. R. Choi & K. J. Choi. (2016). Energy Consumption Analysis of Unity Game Engine based Mobile Applications. In Proceedings of the 2016 Fall Conference. Seoul : KICS.
  2. H. B. Kwak, K. H. Oh & H. Y. Youn. (2013). A Study on the Architecture Property and Development Possibility of Tizen compared with Android System. In Proceedings of the 2013 Fall Conference. Seoul : KICS.
  3. K. W. Nixon, X. Chen, H. Zhou, Y. Liu & Y. Chen. (2014). Mobile GPU power consumption reduction via dynamic resolution and frame rate scaling. In Proceedings of the 6th USENIX conference on Power-Aware Computing and Systems. USA : USENIX.
  4. D. H. Kim. (2015). Effective bench marking schemes for mobile GPU load balancing. Unpublished master's thesis. Sejong University, Seoul.
  5. W. Lee & C. Koh. (2004). Load Distributed System of Units For Game Al's Resource Optimization. Journal of The Korean Society for Industial and Applied Mathematics, 8(2), 33-45.
  6. H. J. Chae & S. H. Ryu. (2007). A Study on Effective Optimization by Comparison with Game Loading Time for File Format of Textures-Based on Virtools Engine. International Journal of Contents, 7(5), 72-77.