The Idea of De-Clustering and its Applications

Manlin Fang, Richard C. T. Lee, Chialin Chang · Very Large Data Bases · 1986

M. T. Fang*, R. C. T. Lee* and C. C. Chang** * Institute of Computer and Decision Sciences, National Tsing Hua University , Hsinchu, Taiwan, CHINA ** Institute of Applied Mathematics, National Chung Hsing University, Taichung, Taiwan, CHINA The idea of de-clustering is defined as follows: Given a set of data, divide them into two groups such that these two groups are similar to each other. We shall show that this de-clustering technique can be used to solve the multidisk data allocation problem for parallel processing. SECTION

Read the paper · More papers on PaperTik