This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
Carsten Franke, Frank Hoffmann, Joachim Lepping, U...
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...
We consider online preemptive scheduling of jobs, arriving one by one, on m identical parallel machines. A buffer of a fixed size K > 0, which assists in partial reordering of...
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Most parallel machines, such as clusters, are spaceshared in order to isolate batch parallel applications from each other and optimize their performance. However, this leads to lo...