Abstract. We apply three different modeling frameworks -- timed automata (Uppaal), colored Petri nets and synchronous data flow -- to model a challenging industrial case study that...
Georgeta Igna, Venkatesh Kannan, Yang Yang, Twan B...
Abstract. We present a first constant performance guarantee for preemptive stochastic scheduling to minimize the sum of weighted completion times. For scheduling jobs with release ...
Temporal dependence within the workload of any computing or networking system has been widely recognized as a significant factor affecting performance. More specifically, burstin...
Evgenia Smirni, Qi Zhang, Ningfang Mi, Alma Riska,...
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
Abstract. The development of successful case-based design aids depends both on the CBR processes themselves and on crucial questions of integrating the CBR system into the larger t...
David B. Leake, Lawrence Birnbaum, Kristian J. Ham...