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Dynamically partitioning of adaptive applications and migration of excess workload from overloaded processors to underloaded processors during execution are critical techniques needed for distributed computing. Distributed systems differ from traditional parallel systems in that they consist of heterogeneous resources connected with shared networks, thereby preventing existing schemes from benefiting large-scale applications. In particular, the cost entailed by workload migration is significantdoi:10.1109/ccgrid.2005.1558677 dblp:conf/ccgrid/LiL05 fatcat:twtnclcanjcsligeu6aofylcdy