Sciweavers

206 search results - page 25 / 42
» Better Bounds for Online Scheduling
Sort
View
ESA
2008
Springer
95views Algorithms» more  ESA 2008»
13 years 9 months ago
Speed Scaling Functions for Flow Time Scheduling Based on Active Job Count
Abstract. We study online scheduling to minimize flow time plus energy usage in the dynamic speed scaling model. We devise new speed scaling functions that depend on the number of ...
Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prud...
DATE
2010
IEEE
139views Hardware» more  DATE 2010»
14 years 21 days ago
Constant-time admission control for Deadline Monotonic tasks
—The admission control problem is concerned with determining whether a new task may be accepted by a system consisting of a set of running tasks, such that the already admitted a...
Alejandro Masrur, Samarjit Chakraborty, Georg F&au...
SAC
2005
ACM
14 years 1 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
SOSP
2009
ACM
14 years 4 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 7 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...