Making B+- trees cache conscious in main memory
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Main-memory index structures with fixed-size partial keys
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Improving index performance through prefetching
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Cache Conscious Indexing for Decision-Support in Main Memory
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Database Architecture Optimized for the New Bottleneck: Memory Access
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Optimizing database architecture for the new bottleneck: memory access
The VLDB Journal — The International Journal on Very Large Data Bases
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In main-memory resident index structures, secondary cache misses have a considerable effect on the performance of index structures. Recently, several main-memory resident index structures that consider cache have been proposed to reduce the impact of secondary cache misses. However, they still suffer from full secondary cache misses whenever visiting each level of index trees. In this paper, we propose a new index structure that minimizes the total amount of cache miss latency. The proposed index structure prefetches the grandchildren of a current node. The basic structure of the proposed index structure is from CSB+-Tree that uses the concept of the node group to increase fan-out. However the insert algorithm of the proposed index structure reduces the cost of a split significantly. Also, we show the superiority of our algorithm through performance evaluation.