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» Clustering performance data efficiently at massive scales
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96
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SIGMOD
2010
ACM
321views Database» more  SIGMOD 2010»
15 years 5 months ago
HadoopDB in action: building real world applications
HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work ha...
Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Hua...
102
Voted
SPE
2010
114views more  SPE 2010»
14 years 11 months ago
A survey of the research on power management techniques for high-performance systems
This paper surveys the research on power management techniques for high performance systems. These include both commercial high performance clusters and scientific high performanc...
Yongpeng Liu, Hong Zhu
113
Voted
MICRO
2003
IEEE
143views Hardware» more  MICRO 2003»
15 years 6 months ago
VSV: L2-Miss-Driven Variable Supply-Voltage Scaling for Low Power
Energy-efficient processor design is becoming more and more important with technology scaling and with high performance requirements. Supply-voltage scaling is an efficient way to...
Hai Li, Chen-Yong Cher, T. N. Vijaykumar, Kaushik ...
ICC
2007
IEEE
177views Communications» more  ICC 2007»
15 years 7 months ago
An Energy-Aware Protocol for Data Gathering Applications in Wireless Sensor Networks
—Data gathering is a major function of many applications in wireless sensor networks (WSNs). The most important issue in designing a data gathering algorithm is how to save energ...
Ming Liu, Yuan Zheng, Jiannong Cao, Guihai Chen, L...
94
Voted
ERCIMDL
1997
Springer
106views Education» more  ERCIMDL 1997»
15 years 4 months ago
Scalable Text Retrieval for Large Digital Libraries
It is argued that digital libraries of the future will contain terabyte-scale collections of digital text and that full-text searching techniques will be required to operate over c...
David Hawking