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AAAI
2006
15 years 8 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...
WSC
2001
15 years 8 months ago
Distributed simulation with incorporated APS procedures for high-fidelity supply chain optimization
Tactical and operational planning for manufacturing enterprises are more important today than ever before as their supply chains span the globe. Two state-of-the-art technologies ...
Peter Lendermann, Boon-Ping Gan, Leon F. McGinnis
SPAA
2009
ACM
16 years 7 months ago
Approximation algorithms for time-constrained scheduling on line networks
We consider the problem of time-constrained scheduling of packets in a communication network. Each packet has, in addition to its source and its destination, a release time and a ...
Harald Räcke, Adi Rosén
ISORC
2005
IEEE
16 years 27 days ago
Stochastic, Utility Accrual Real-Time Scheduling with Task-Level and System-Level Timeliness Assurances
Heuristic algorithms have enjoyed increasing interests and success in the context of Utility Accrual (UA) scheduling. However, few analytical results, such as bounds on task-level...
Peng Li, Hyeonjoong Cho, Binoy Ravindran, E. Dougl...
JSSPP
2005
Springer
16 years 24 days ago
Pitfalls in Parallel Job Scheduling Evaluation
There are many choices to make when evaluating the performance of a complex system. In the context of parallel job scheduling, one must decide what workload to use and what measur...
Eitan Frachtenberg, Dror G. Feitelson