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SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 9 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
SIGMOD
2009
ACM
182views Database» more  SIGMOD 2009»
14 years 9 months ago
3-HOP: a high-compression indexing scheme for reachability query
Reachability queries on large directed graphs have attracted much attention recently. The existing work either uses spanning structures, such as chains or trees, to compress the c...
Ruoming Jin, Yang Xiang, Ning Ruan, David Fuhry
SIGMOD
2007
ACM
124views Database» more  SIGMOD 2007»
14 years 9 months ago
Query suspend and resume
Suppose a long-running analytical query is executing on a database server and has been allocated a large amount of physical memory. A high-priority task comes in and we need to ru...
Badrish Chandramouli, Christopher N. Bond, Shivnat...
SIGMOD
2007
ACM
179views Database» more  SIGMOD 2007»
14 years 9 months ago
How to barter bits for chronons: compression and bandwidth trade offs for database scans
Two trends are converging to make the CPU cost of a table scan a more important component of database performance. First, table scans are becoming a larger fraction of the query p...
Allison L. Holloway, Vijayshankar Raman, Garret Sw...
SIGMOD
2006
ACM
122views Database» more  SIGMOD 2006»
14 years 9 months ago
MonetDB/XQuery: a fast XQuery processor powered by a relational engine
Relational XQuery systems try to re-use mature relational data management infrastructures to create fast and scalable XML database technology. This paper describes the main featur...
Peter A. Boncz, Torsten Grust, Maurice van Keulen,...