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DSRT
2008
IEEE
14 years 3 months ago
An Adaptive Energy-Conserving Strategy for Parallel Disk Systems
In the past decade parallel disk systems have been highly scalable and able to alleviate the problem of disk I/O bottleneck, thereby being widely used to support a wide range of d...
Mais Nijim, Adam Manzanares, Xiao Qin
ICAC
2007
IEEE
14 years 3 months ago
Adaptive Learning of Metric Correlations for Temperature-Aware Database Provisioning
This paper introduces a transparent self-configuring architecture for automatic scaling with temperature awareness in the database tier of a dynamic content web server. We use a ...
Saeed Ghanbari, Gokul Soundararajan, Jin Chen, Cri...
CVPR
2012
IEEE
11 years 11 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
IPPS
2000
IEEE
14 years 1 months ago
Run-Time Support for Adaptive Load Balancing
Abstract. Many parallel scienti c applications have dynamic and irregular computational structure. However, most such applications exhibit persistence of computational load and com...
Milind A. Bhandarkar, Robert Brunner, Laxmikant V....
SIGMOD
2004
ACM
115views Database» more  SIGMOD 2004»
14 years 9 months ago
Kanata: Adaptation and Evolution in Data Sharing Systems
In Toronto's Kanata project, we are investigating the integration and exchange of data and metadata in dynamic, autonomous environments. Our focus is on the development and m...
Periklis Andritsos, Ariel Fuxman, Anastasios Kemen...