Scalable data management using user-based caching and prefetching in distributed virtual environments = 사용자 기반의 캐싱과 프리페칭을 이용한 분산 가상 환경 하에서의 확장성 있는 데이터 관리 기법

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For supporting real-time interaction in distributed virtual environments (DVEs), it is common to replicate virtual world data at clients from the server. For efficient replication, two schemes are used together in general-prioritized transfer of objects and a caching prefetching technique. Existing caching and prefetching approaches for DVEs exploit spatial relationship based on the distance between a user and objects. However, spatial relationship fails to determine which types of objects are more important to an individual user, not reflecting user’s interests. We propose a scalable data management scheme using user-based caching and prefetching exploiting the object’s access priority generated from spatial distance and individual user’s interest in objects in DVEs. We also further improve the cache hit rate by incorporating user’s navigation behavior into the spatial relationship between a user and the objects in the cache. By combining the interest score and popularity score of an object with the spatial relationship, we improve the performance of caching and prefetching since the interaction locality between the user and objects are reflected in addition to spatial locality. The simulation results show that the proposed scheme outperforms existing caching and prefetching in terms of both total hit ratios and hit ratios for interested objects by 10% on average when the cache size is set to basic cache size, the size of expected number of objects included in the user’s viewing range.
Lee, Dong-Manresearcher이동만researcher
한국정보통신대학원대학교 : 공학부,
Issue Date
392134/225023 / 020003864

학위논문(석사) - 한국정보통신대학원대학교 : 공학부, 2002, [ vi, 48 p. ]


Caching; User-Based; Prefetching; 확장성; 프리패칭; 캐싱; Scalable Data

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School of Engineering-Theses_Master(공학부 석사논문)
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