Modified Binary Particle Swarm optimization algorithm application to real-time task assignment in heterogeneous multiprocessor
Three optimization techniques are compared for heterogeneous multiprocessor scheduling. Modified BPSO performs better than Novel BPSO and ACO. ACO performs better than Novel BPSO. Energy consumed is reduced for feasible solutions by using Local Energy algorithm. Energy consumed and CPU time taken for different techniques are discussed.
task assignment multiprocessors scheduling modified bpso novel bpso heterogeneous processors periodic tasks real-time systems