EFFICIENT INDEXING METHODS FOR TEMPORAL RELATIONS

被引:16
作者
GUNADHI, H
SEGEV, A
机构
[1] UNIV CALIF BERKELEY,WALTER A HAAS SCH BUSINESS,BERKELEY,CA 94720
[2] LAWRENCE BERKELEY LAB,DEPT COMP SCI RES & DEV,BERKELEY,CA 94720
基金
美国国家科学基金会;
关键词
INDEXING; PHYSICAL ORGANIZATION; QUERY PROCESSING; SEARCHING; TEMPORAL DATABASES;
D O I
10.1109/69.224200
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The size of temporal databases and the semantics of temporal queries pose challenges for the design of efficient indexing methods. The primary issues that affect the design of indexing methods are examined, and propose several structures and algorithms for specific cases. Indexing methods for time-based queries are developed, queries on the surrogate or time-invariant key and time, and temporal attribute and time. In the latter case, several methods are presented that partition the time-line, in order to balance the distribution of tuple-pointers within the index. The methods are analyzed against alternatives, and present appropriate empirical results.
引用
收藏
页码:496 / 509
页数:14
相关论文
共 25 条
[1]  
AHN I, 1987, MAY P ACM SIGMOD C M, P96
[2]  
AHN I, 1988, INFORM SYST, V13, P269
[3]  
AHN I, 1986, FEB P INT C DAT ENG, P374
[4]   A TEMPORALLY ORIENTED DATA MODEL [J].
ARIAV, G .
ACM TRANSACTIONS ON DATABASE SYSTEMS, 1986, 11 (04) :499-527
[5]  
CLIFFORD J, 1987, 3RD P INT C DAT ENG, P528
[6]  
CLIFFORD J, 1985, MAY P ACM SIGMOD INT, P247
[7]  
GUNADHI H, 1990, 5TH P INT C STAT SCI, P131
[8]  
GUNADHI H, 1988, LBL24578 DEP COMP SC
[9]  
GUTTMAN A, 1984, JUN P SIGMOD C BOST, P47
[10]  
KOLOVSON C, 1989, FEB P INT C DAT ENG, P127