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» Clustering performance data efficiently at massive scales
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CF
2006
ACM
15 years 2 months ago
Intermediately executed code is the key to find refactorings that improve temporal data locality
The growing speed gap between memory and processor makes an efficient use of the cache ever more important to reach high performance. One of the most important ways to improve cac...
Kristof Beyls, Erik H. D'Hollander
ISLPED
2005
ACM
86views Hardware» more  ISLPED 2005»
15 years 6 months ago
An evaluation of code and data optimizations in the context of disk power reduction
Disk power management is becoming increasingly important in high-end server and cluster type of environments that execute dataintensive applications. While hardware-only approache...
Mahmut T. Kandemir, Seung Woo Son, Guangyu Chen
ICNP
2003
IEEE
15 years 5 months ago
Data Dissemination with Ring-Based Index for Wireless Sensor Networks
In current sensor networks, sensor nodes are capable of not only measuring real world phenomena, but also storing, processing and transferring these measurements. Many data dissem...
Wensheng Zhang, Guohong Cao, Thomas F. La Porta
101
Voted
CLOUD
2010
ACM
15 years 5 months ago
G-Store: a scalable data store for transactional multi key access in the cloud
Cloud computing has emerged as a preferred platform for deploying scalable web-applications. With the growing scale of these applications and the data associated with them, scalab...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
130
Voted
VLDB
2000
ACM
229views Database» more  VLDB 2000»
15 years 4 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra