The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
We propose and evaluate a multi-thread memory scheduler that targets high performance CMPs. The proposed memory scheduler is based on concepts originally developed for network fai...
Kyle J. Nesbit, Nidhi Aggarwal, James Laudon, Jame...
Abstract. The automata-based model checking approach for randomized distributed systems relies on an operational interleaving semantics of the system by means of a Markov decision ...
Complete algorithms have been proposed to solve problems modelled as distributed constraint optimization (DCOP). However, there are only few attempts to address real world scenari...
As grid computing becomes more commonplace, so does the importance of coscheduling these geographically distributed resourcest. Negotiating resource management and scheduling deci...
Kenneth Yoshimoto, Patricia A. Kovatch, Phil Andre...