Social networks and discovery in the enterprise (SaND)
Inbal Ronen, Elad Shahar, et al.
SIGIR 2009
As part of the Starburst extensible database oroiect. we have designed and implemented a memory resident storage component that can coexist along side traditional disk-oriented storage components. The memory resident storage component shares the code of Starburst'*s common services, such as query optimization, plan generation, query evaluation, record manipu-lation, and transaction management. In this paper, we describe the design of Starburst’s memory resident storage component, contrast it with Starburst’s default disk-oriented storage component, and compare the performance of the two storage components using the Wisconsin Benchmarks. Our results show that a memory resident storage component can perform significantly better than a disk-oriented storage component, even when the disk-oriented storage component has all of its data cached in memory. The benchmark results show that, by using memory resident techniques, overall query execution can be improved by up to a factor of four. © 1992, IEEE. All rights reserved.
Inbal Ronen, Elad Shahar, et al.
SIGIR 2009
Elena Cabrio, Philipp Cimiano, et al.
CLEF 2013
M.F. Cowlishaw
IBM Systems Journal
Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008