QoS-based dynamic allocation in embedded systems: A methodology and a framework

Pianegiani, F.

doi:10.1109/imtc.2011.5944343

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…The technological evolution of devices currently provides sufficient performance to implement complex planning strategies on them. These strategies delegate to a realtime operating system embedded in devices, the execution planning, and management of tasks to meet the constraints imposed by the applications [5][6][7]. In environments involving multiple devices, it is possible to establish planning methods that take into account multiprocessing scenarios in one [8,9] or more embedded elements with heterogeneous characteristics [10,11].…”

Section: Related Workmentioning

confidence: 99%

Flexible Framework for Real-Time Embedded Systems Based on Mobile Cloud Computing Paradigm

Mora

Gil

Lopez

et al. 2015

Mobile Information Systems

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The development of applications as well as the services for mobile systems faces a varied range of devices with very heterogeneous capabilities whose response times are difficult to predict. 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.

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