Paper Info
Title
Matching Database Access Patterns to Storage Characteristics
Abstract
Today's storage interfaces hide device-specific details, simplifying sys- tem development and device interoperability. However, they prevent database systems from exploiting devices' unique performance char- acteristics. Abstract and device-independent annotations to existing storage interfaces can cleanly expose key device characteristics that improve performance and simplify manual tuning. By automatically matching access patterns to device strengths, a database storage man- ager can achieve robust performance even with workloads competing for the same storage resource. For example, disk-optimized accesses result in simultaneous improvement of up to 3x for DSS workloads and 7% for a competing OLTP workload. As another example, accesses to relational tables can take advantage of MEMS-based storage paral- lelism to achieve order of magnitude improvements in selective scans.
Year
Venue
Keywords
2003
VLDB PhD Workshop
database system
Field
DocType
Citations 
Database access,Data mining,Interoperability,Workload,Computer science,Online transaction processing,System development,Database storage structures,Database
Conference
2
PageRank 
References 
Authors
0.40
5
3
Name
Order
Citations
PageRank
Jiri Schindler141126.82
Gregory R. Ganger24560383.16
Anastasia Ailamaki34178349.12