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초록
This paper presents a cost model that estimates the performance of multidimensional indexing methods that support sequential access. The cost model makes a distinction between page access costs depending on whether pages are accessed sequenlially or randomly. Our cost model shows almost the same performance curve as that of the experimenral results. A new index clustering technique to which our cost model is applied is also presented.
키워드
performance analysis; multidimensional index; index clustering; databases
- 제목
- Performance Analysis for Multidimensional Indexing Methods Supporting Sequential Access
- 제목 (타언어)
- Performance Analysis for Multidimensional Indexing Methods Supporting Sequential Access
- 저자
- 차광호
- 발행일
- 2004-05
- 저널명
- 데이타베이스연구
- 권
- 20
- 호
- 2
- 페이지
- 26 ~ 33