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Quality of Service (QoS) defines a system’s performance and quality. To improve QoS, edge computing plays a vital role in any application using network resources at the local network. The applications include IoT devices, e.g., vehicular devices [31]. To guarantee a delay bounded QoS when performing task offloading is the challenge. When a large number of users compete for communication and limited computing resources, delay bounded QoS becomes the challenge. Another reason for delay bounded QoS is delay and energy consumption due to extra communication overhead while offloading computational tasks to edge servers [32].

There are two approaches to optimize QoS. The deterministic method of task offloading technique has a condition of completing the task by 100% before the deadline, which is quite impossible in practical situations due to transient noise, etc. Hence a statistical approach can be applied to complete the task before the deadline [32]. The section below discusses the statistical delay bounded Qos.