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» Online weighted flow time and deadline scheduling
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FOCS
1995
IEEE
14 years 4 days 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
SOSP
2009
ACM
14 years 5 months ago
Quincy: fair scheduling for distributed computing clusters
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
Michael Isard, Vijayan Prabhakaran, Jon Currey, Ud...
ALGORITHMICA
2004
111views more  ALGORITHMICA 2004»
13 years 8 months ago
Non-Clairvoyant Scheduling for Minimizing Mean Slowdown
We consider the problem of scheduling dynamically arriving jobs in a non-clairvoyant setting, that is, when the size of a job in remains unknown until the job finishes execution. ...
Nikhil Bansal, Kedar Dhamdhere, Jochen Könema...
INFOCOM
2003
IEEE
14 years 1 months ago
Providing Guaranteed Rate Services in the Load Balanced Birkhoff-von Neumann Switches
— In this paper, we propose two schemes for the load balanced Birkhoff-von Neumann switches to provide guaranteed rate services. As in [7], the first scheme is based on an Earli...
Cheng-Shang Chang, Duan-Shin Lee, Chi-Yao Yue
ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
14 years 3 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof