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ICDE
1999
IEEE
113views Database» more  ICDE 1999»
10 years 5 months ago
Parallel Algorithms for Computing Temporal Aggregates
The ability to model the temporal dimension is essential to many applications. Furthermore, the rate of increase in database size and response time requirements has outpaced advan...
Jose Alvin G. Gendrano, Bruce C. Huang, Jim M. Rod...
PPOPP
2010
ACM
10 years 1 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...
DOLAP
2004
ACM
9 years 9 months ago
Experimental evidence on partitioning in parallel data warehouses
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...
Pedro Furtado
VLDB
1999
ACM
145views Database» more  VLDB 1999»
9 years 8 months ago
DBMSs on a Modern Processor: Where Does Time Go?
Recent high-performance processors employ sophisticated techniques to overlap and simultaneously execute multiple computation and memory operations. Intuitively, these techniques ...
Anastassia Ailamaki, David J. DeWitt, Mark D. Hill...
IDEAS
2006
IEEE
110views Database» more  IDEAS 2006»
9 years 10 months ago
Towards Traceability across Sovereign, Distributed RFID Databases
Tracking and tracing individual items is a new and emerging trend in many industries. Driven by maturing technologies such as Radio-Frequency Identiļ¬cation (RFID) and upcoming s...
Rakesh Agrawal, Alvin Cheung, Karin Kailing, Stefa...
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