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A distributed mobile system consists of a group of heterogeneous mobile devices connected by wireless network. Due to the fact that most of the mobile devices are battery based, the lifetime of a mobile system depends on both the battery behavior and the energy consumption characteristics of tasks. In this paper, we present a set of models for task scheduling in mobile systems equipped with Dynamic...
Chip multiprocessor technique has been implemented in embedded systems due to the tremendous computation requirements. Three dimension chip multiprocessor architecture has been studied recently for integrating more functionalities and providing higher performance. The high temperature on chip is a critical issue for the 3D architecture. In this paper, we propose an online thermal prediction model...
In cloud computing, computational resources are provided to remote users in the form of leases. For a cloud user, he/she can request multiple cloud services simultaneously. In this case, parallel processing in the cloud system can improve the performance. When applying parallel processing in cloud computing, it is necessary to implement a mechanism to allocate resource and schedule the tasks execution...
Multi-core technique has been implemented in DSP systems due to the tremendous computation requirements. In order to integrate more functionalities and provide higher performance, 3D multi-core architecture has been studied recently. The thermal issue is a critical problem for 3D architecture. In this paper, we propose an online thermal prediction model for 3D chip. Using this model, we present a...
Multi-core technologies are widely used in embedded systems. Stochastic resource allocation can guarantee certain quality of the services (QoS). In heterogeneous embedded system resource allocation, execution time distributions of different tasks on cores are predicted before scheduling. The difference between actual execution time and estimated execution time may lead to allocations which are not...
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