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Mobile Edge Computing (MEC) technology has emerged to reduce the Energy Consumption and Service Delay of User Equipment (UE) by deploying powerful computing and storage capacity when the computing tasks are offloaded to Mobile Edge Server (MES).
The offloading strategy can be categorized into Full offloading and Partial offloading. In Partial Offloading, the single task is divided into several components. Then some of the components are offloaded to MES for execution, while the whole task is offloaded to MES for execution in full offloading.
Finding an optimal partial offloading policy is complicated because the number of possible ways of Task partitioning increases exponentially with the task size.
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