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» Reliability Design for Large Scale Data Warehouses
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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 2 days ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
DAC
2011
ACM
13 years 11 months ago
DRAIN: distributed recovery architecture for inaccessible nodes in multi-core chips
As transistor dimensions continue to scale deep into the nanometer regime, silicon reliability is becoming a chief concern. At the same time, transistor counts are scaling up, ena...
Andrew DeOrio, Konstantinos Aisopos, Valeria Berta...
SRDS
2008
IEEE
15 years 6 months ago
Self-Stabilization in Tree-Structured Peer-to-Peer Service Discovery Systems
The efficiency of service discovery is critical in the development of fully decentralized middleware intended to manage large scale computational grids. This demand influenced t...
Eddy Caron, Ajoy Kumar Datta, Franck Petit, C&eacu...
TOCS
2008
146views more  TOCS 2008»
14 years 11 months ago
Bigtable: A Distributed Storage System for Structured Data
Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many...
Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C...
SIGMOD
2000
ACM
121views Database» more  SIGMOD 2000»
15 years 4 months ago
MOCHA: A Self-Extensible Database Middleware System for Distributed Data Sources
We present MOCHA, a new self-extensible database middleware system designed to interconnect distributed data sources. MOCHA is designed to scale to large environments and is based...
Manuel Rodriguez-Martinez, Nick Roussopoulos