Title :
Research and Implementation of Index Scheme for Large-Scale Dataset
Author :
Jiang, Haiping ; Fan, Xinghua
Author_Institution :
Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Abstract :
Based on the characteristics that B+-tree is not suitable for indexing large-scale dataset, which could cause random disk I/O increased and more pages split when a large number of random data is inserted, this paper presents a new data structure, which can not only index more than a billion records, but also has a higher efficiency when do random and sequential search. What´s more, the performance is relatively stable for large-scale data updating. Experiments show that the new data structure performs well and valid when we index large-scale dataset.
Keywords :
database indexing; tree data structures; very large databases; index scheme; large-scale dataset; random disk I/O; tree data structure; Computer science; Data models; Data structures; Indexing; Memory; Merging;
Conference_Titel :
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7253-6
DOI :
10.1109/ITAP.2011.6006132