Economic and Energy Considerations for Resource Augmentation in Mobile Cloud Computing
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Economic and Energy Considerations for Resource Augmentation in Mobile Cloud Computing
Abstract—Economic and Energy Considerations for Resource Augmentation in Mobile Cloud Computing. We proposed to utilize a centralized broker-node to perform task scheduling for the resource augmentation of a large number of mobile devices. The task scheduler model focused on energy < Final Year Projects 2016 > optimization was proposed for the centralized task scheduling problem. In this paper, the model extends the optimization process by including an economic element to it. Thus, we propose an energy and monetary cost-aware mathematical task scheduler model. Compared to the previous model, this model, can allow mobile devices to offload multiple tasks to cloud resources. The results in this paper are more thorough and more aspects of task offloading have been analyzed.
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