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» Dynamic power management using machine learning
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CLUSTER
2007
IEEE
15 years 9 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
15 years 11 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
ICAC
2008
IEEE
15 years 11 months ago
Power and Performance Management of Virtualized Computing Environments Via Lookahead Control
— There is growing incentive to reduce the power consumed by large-scale data centers that host online services such as banking, retail commerce, and gaming. Virtualization is a ...
Dara Kusic, Jeffrey O. Kephart, James E. Hanson, N...
EENERGY
2010
15 years 9 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...
105
Voted
ICALT
2005
IEEE
15 years 10 months ago
Goal Oriented Personalisation with SCORM
This paper presents an innovative approach to personalize on-line content to the needs of individual learners. We use a regular educational environment, the BlackboardTM Learning ...
Guillermo Power, Hugh C. Davis, Alexandra I. Crist...