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The research described in this work aims to respond to this issue by developing a computational model that formalizes the problem and that defines adjusting computing methods. The described proposal combines imprecise computing strategies with cloud computing paradigms in order to provide flexible implementation frameworks for embedded or mobile devices. As a result, the imprecise computation scheduling method on the workload of the embedded system is the solution to move computing to the cloud according to the priority and response time of the tasks to be executed and hereby be able to meet productivity and quality of desired services. A technique to estimate network delays and to schedule more accurately tasks is illustrated in this paper. An application example in which this technique is experimented in running contexts with heterogeneous work loading for checking the validity of the proposed model is described.<\/jats:p>","DOI":"10.1155\/2015\/652462","type":"journal-article","created":{"date-parts":[[2015,6,16]],"date-time":"2015-06-16T21:03:47Z","timestamp":1434488627000},"page":"1-14","source":"Crossref","is-referenced-by-count":15,"title":["Flexible Framework for Real-Time Embedded Systems Based on Mobile Cloud Computing Paradigm"],"prefix":"10.1155","volume":"2015","author":[{"given":"Higinio","family":"Mora Mora","sequence":"first","affiliation":[{"name":"Specialized Processors Architecture Laboratory, Department of Computer Science Technology and Computation, University of Alicante, 03690 Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Gil","sequence":"additional","affiliation":[{"name":"Specialized Processors Architecture Laboratory, Department of Computer 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