HeteroSort load balances and sorts within static or dynamic networks. Upon failure of a node or path, HeteroSort uses a genetic algorithm to minimize the distribution path by optim...
Emmett Davis, Bonnie Holte Bennett, Bill Wren, Lin...
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Abstract. Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geog...
Many works have recently addressed the issue of congestion control for multicast communications and the problem is known to be highly complex. Scalability, responsiveness, stabili...