The development of applications as well as the services for mobile systems faces a varied range of devices with very heterogeneous\ncapabilities whose response times are difficult to predict. The research described in this work aims to respond to this issue by\ndeveloping a computational model that formalizes the problem and that defines adjusting computing methods. The described\nproposal combines imprecise computing strategies with cloud computing paradigms in order to provide flexible implementation\nframeworks for embedded or mobile devices. As a result, the imprecise computation scheduling method on the workload of the\nembedded system is the solution to move computing to the cloud according to the priority and response time of the tasks to be\nexecuted and hereby be able to meet productivity and quality of desired services. A technique to estimate network delays and\nto schedule more accurately tasks is illustrated in this paper. An application example in which this technique is experimented in\nrunning contexts with heterogeneous work loading for checking the validity of the proposed model is described.
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