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SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
14 years 7 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...
SIGMOD
2007
ACM
165views Database» more  SIGMOD 2007»
14 years 7 months ago
Sharing aggregate computation for distributed queries
An emerging challenge in modern distributed querying is to efficiently process multiple continuous aggregation queries simultaneously. Processing each query independently may be i...
Ryan Huebsch, Minos N. Garofalakis, Joseph M. Hell...
SIGMOD
2007
ACM
124views Database» more  SIGMOD 2007»
14 years 7 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
167views Database» more  SIGMOD 2007»
14 years 7 months ago
Data currency in replicated DHTs
Distributed Hash Tables (DHTs) provide a scalable solution for data sharing in P2P systems. To ensure high data availability, DHTs typically rely on data replication, yet without ...
Reza Akbarinia, Esther Pacitti, Patrick Valduriez
PODS
2001
ACM
127views Database» more  PODS 2001»
14 years 7 months ago
Optimal Aggregation Algorithms for Middleware
Assume that each object in a database has m grades, or scores, one for each of m attributes. For example, an object can have a color grade, that tells how red it is, and a shape g...
Ronald Fagin, Amnon Lotem, Moni Naor