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» On robust online scheduling algorithms
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RTSS
2005
IEEE
15 years 11 months ago
Energy-Aware Modeling and Scheduling of Real-Time Tasks for Dynamic Voltage Scaling
Abstract— Dynamic voltage scaling (DVS) is a promising technique for battery-powered systems to conserve energy consumption. Most existing DVS algorithms assume information about...
Xiliang Zhong, Cheng-Zhong Xu
127
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INFOCOM
2006
IEEE
15 years 11 months ago
Flow Scheduling for End-Host Multihoming
Abstract— Fueled by the competing DSL and Cable technologies, residential broadband access has seen a significant spread in availability to the point that many users have a choi...
Nathanael Thompson, Guanghui He, Haiyun Luo
ATAL
2005
Springer
15 years 11 months ago
Rapid on-line temporal sequence prediction by an adaptive agent
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...
FOCS
1995
IEEE
15 years 9 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
RTCSA
2009
IEEE
16 years 2 days ago
Managing Imprecise Worst Case Execution Times on DVFS Platforms
Abstract—Although energy-efficient real-time task scheduling has attracted a lot of attention in the past decade, most existing results assumed deterministic execution lengths f...
Vandy Berten, Chi-Ju Chang, Tei-Wei Kuo