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» Scheduling in Multiprocessor System Using Genetic Algorithms
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HIPEAC
2009
Springer
14 years 10 days ago
Accomodating Diversity in CMPs with Heterogeneous Frequencies
Shrinking process technologies and growing chip sizes have profound effects on process variation. This leads to Chip Multiprocessors (CMPs) where not all cores operate at maximum f...
Major Bhadauria, Vincent M. Weaver, Sally A. McKee
IPPS
2005
IEEE
14 years 2 months ago
Energy-Aware Task Scheduling: Towards Enabling Mobile Computing over MANETs
Enabling high performance, persistent mobile computing has recently become a very active research area. The widespread popularity of mobile computing devices, such as laptops, han...
Waleed Alsalih, Selim G. Akl, Hossam S. Hassanein
AAAI
2006
13 years 10 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
DASC
2006
IEEE
14 years 3 months ago
Thermal-Aware Task Scheduling to Minimize Energy Usage of Blade Server Based Datacenters
Blade severs are being increasingly deployed in modern datacenters due to their high performance/cost ratio and compact size. In this study, we document our work on blade server b...
Qinghui Tang, Sandeep K. S. Gupta, Daniel Stanzion...
SIGMETRICS
2005
ACM
118views Hardware» more  SIGMETRICS 2005»
14 years 2 months ago
Nearly insensitive bounds on SMART scheduling
We define the class of SMART scheduling policies. These are policies that bias towards jobs with small remaining service times, jobs with small original sizes, or both, with the ...
Adam Wierman, Mor Harchol-Balter, Takayuki Osogami