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VLDB
2001
ACM
190views Database» more  VLDB 2001»
13 years 11 months ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
JSSPP
2007
Springer
14 years 22 days ago
A Self-optimized Job Scheduler for Heterogeneous Server Clusters
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
Elad Yom-Tov, Yariv Aridor
FOCS
1995
IEEE
13 years 10 months ago
Tracking the Best Disjunction
Abstract. Littlestone developed a simple deterministic on-line learning algorithm for learning k-literal disjunctions. This algorithm (called Winnow) keeps one weight for each of t...
Peter Auer, Manfred K. Warmuth
IPCC
1998
92views more  IPCC 1998»
13 years 8 months ago
Evaluating Distance Learning in Graduate Programs: Ensuring Rigorous, Rewarding Professional Education
: Internet-based distance learning programs make it possible for technical communicators located anywhere in the world to participate in graduate courses in their field. But are th...
George F. Hayhoe
ICAC
2007
IEEE
14 years 27 days 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...