Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
The Earliest Deadline First scheduling algorithm (EDF) is known to not be optimal under global scheduling on multiprocessor platforms. Results have been obtained that bound the ma...
Jeremy P. Erickson, UmaMaheswari Devi, Sanjoy K. B...
Mapping packet processing applications onto embedded network processors (NP) is a challenging task due to the unique constraints of NP systems and the characteristics of network a...
Jia Yu, Jingnan Yao, Jun Yang 0002, Laxmi N. Bhuya...
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...
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...