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The first, second, and fourth execution phases each contain multiple tasks to execute whereas the third and fifth execution phase each only have one task to execute.
In our case, this policy determines which task to execute at the perceived state.
The application learns online about the next task to execute based on our proposed methods.
A sporadic server typically employs a so-called earliest-deadline-first policy to select the next sporadic task to execute.
For determining the next task to execute, sensor nodes need to consider the available energy and the energy required for executing that task.
The performance achieved by GridTS3 and GridTS5 can be credited to the ability of a powerful resource to choose a large task to execute.
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It modifies the Android Dalvik VM to provide an application partitioner and an execution runtime to help applications running on the VM offload tasks to execute on a cloned VM hosted by a Cloud server.
TSP1 schedules tasks to execute at their earliest possible times, and TSP2 schedules tasks to execute at their latest possible times such that the tasks meet their respective sub-deadlines.
This can be attributed to TSP1 scheduling tasks to execute at their earliest possible times, regardless of their sub-deadlines.
This is due to ED-SL-TSP2 scheduling tasks to execute at their latest possible times, while ensuring the respective sub-deadlines of the tasks are met.
For example when students are presented with tasks to execute in their physical environment, but they need to input the results to the digital device themselves.
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