| 摘要(英) |
With the rapid advancement of technology in recent years, the number of mobile devices has exploded, and the tasks that the devices need to handle are also various. Because some larger computing tasks exceed the limit that the local device can handle, cloud computing with more powerful computing and processing capabilities has emerged. The device transmits computing-intensive tasks to the cloud server through the backbone network for processing, and then transmits the completed tasks back to the device. With the popularization of the Internet of Things, the number of smart devices has increased significantly, although the computing function of cloud computing is very powerful, many of tasks are transmitted to the cloud far away through the same backbone network, resulting in backbone network congestion and excessively long transmission delay can’t meet the low latency requirements of many tasks today, thus, edge computing emerges as the times require. Its method of distributing the tasks offloaded by users to the edge computing servers belonging to each region makes the computing servers closer to the user equipment, greatly reducing the transmission time of tasks, make it more reliable and satisfied users′ low-latency requirements. When user offloads the task to the edge computing server through the mobile network and receives the result after operation, it calls mobile edge computing. In the multi-server environment, the Adaptive Migration proposed in this paper, the edge computing Server will evaluate the task unloaded by the Mobile User according to the current position of the User and the load of other servers. Decide whether to move the uninstalled tasks to other servers to balance the load of each server and receive more tasks. |
| 參考文獻 |
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