Optimal Algorithm Allocation for Single Robot Cloud Systems

In order for a robot to perform task, several algorithms need be executed, sometimes, simultaneously. Algorithms can run either on the itself or, upon request, performed cloud infrastructure. The term infrastructure is used describe hardware, storage, abstracted resources, and network resources related computing. Depending decisions where execute algorithms, overall execution time necessary memory space will change accordingly. price of depends, among other things, its capacity computational power. We answer question how keep given performance use cheaper (lower resources) by assigning tasks infrastructure, depending memory, power, communication constraints. Also, fixed robot, our model provides way have optimal performance. provide general decision algorithm allocation under certain exemplify with simulation results. main advantage that it an task simultaneously time.