Machine Learning Applications in Grid Computing

The development of the World Wide Web has changed the way that we think about information. Information on the web is distributed, updates are made asynchronously and resources come and go online without centralized control. Global networking will similarly change the way we think about and perform computation. Grid computing refers to computing in a distributed networked environment in which computing and data resources are located throughout a network. Grid computing is enabled by an infrastructure that allows users to locate computing resources and data products dynamically during a computation. In order to locate resources dynamically in a grid computation, a grid application program consults a broker or matchmaker agent that uses keywords and ontologies to specify grid services. However, we believe that keywords and ontologies cannot be defined or interpreted precisely enough to make brokering and matchmaking between agents sufficiently robust in a truly distributed, heterogeneous ..