PQ-SDNSch: A Priority Queue- Assisted Scheduling for Emergency Data in SDN-based Mobile Edge Computing
Keywords:
MEC, SDN, Openflow, High Priority Events, Low Priority Events, Queueing theory, Generating FunctionAbstract
A crucial component of the 5th-generation (5G) mobile cellular networks is multi-access edge computing (MEC). MEC allows mobile users to access data and computing resources quickly, enabling Ultra-reliable and Low-latency Communications (URLLC). Researchers have focused on various areas of edge computing as 5G deployments get underway in an effort to take use of the additional capabilities that 5G offers. The sensors gather a wide variety of data, and there is a tremendous quantity of data delivered as well. Numerous researchers have attempted to use MEC to address the problem of excessive traffic caused by the data generated by numerous devices. The MEC infrastructure must be able to handle a large number of interconnected devices, the processing of the enormous amounts of data gathered, and complicated applications to handle the numerous and varied Internet of Things (IoT) devices. In contrast to top-tier servers in the cloud server, the MEC edge server has constrained computing and processing capacity. This paper presents PQ-SDNSch, a scheduling strategy-based software-defined network (SDN) for rapid transmission of emergency data in MEC situations. The MEC incorporates OpenFlow functionality to connect with the SDN controller. In the MEC host with OpenFlow enabled, two queues have been adopted for two classes of high and low-priority events. Both the class of requests are served on a FIFO order within their queue. Various numerical results have been computed for both classes of requests. The system's profit analysis is carried out for both high- and low-priority events.
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