Thread Migration in the River Data ow Environment
نویسندگان
چکیده
River is a prototype I/O programming environment for large-scale cluster of workstations. The assignment of the data ow and its operators (called modules) to participating nodes is currently done statically before any processing starts. The ow is dynamic because some data can be routed to modules that are processing data faster. We introduce module migration (by migrating the underlying thread) as an orthogonal load-balancing method. Module migration can help reduce load on nodes and improve performance by co-locating modules that communicate frequently.
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