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A server and cloud technology, applied in transmission systems, network traffic/resource management, electrical components, etc., can solve problems such as system queue stability degradation, achieve efficient utilization, minimize average waiting delay, and realize the effect of resources
Pending Publication Date: 2022-04-12
HANGZHOU DIANZI UNIV
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[0003] However, reducing the delay will also lead to a decrease in the stability of the system queue, so there is an urgent need for a solution that can reduce the system delay on the basis of ensuring the stability of the system queue
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Embodiment 1
[0053] refer to figure 1 , the present embodiment provides a method for randomly uninstalling the MEC server, including steps:
[0054] S1. The node obtains the basic configuration information of the network and organizes it into a known parameter information library;
[0055] S2. With the goal of minimizing the total system delay and the stability of the queue as the constraint condition, a system optimization model is established;
[0056] S3. Based on the known parameter information library, the system optimization model is solved by the golden section method, and the random processing probability at the MEC is obtained after several iterations;
[0057] S4. Based on the random processing probability obtained from the solution, the MEC processes the data by itself or submits it to the cloud for processing.
[0058] This probability minimizes the average latency of the system. Specifically, two points are properly inserted in the search interval through the golden ratio o...
Embodiment 2
[0089] refer to Figure 4 , this embodiment provides a random unloading system for MEC servers, based on the unloading method described in Embodiment 1, including an information acquisition module, a model building module, a solving module, and a data unloading module connected in sequence;
[0090] The information acquisition module is used to obtain the basic configuration information of the network and organize it into a known parameter information library;
[0091] The model building module is used to establish a system optimization model with the goal of minimizing the total system delay and the stability of the queue as the constraint condition;
[0092] The solution module is used to solve the system optimization model based on the known parameter information library and the golden section method, and obtain the random processing probability at the MEC through several iterations;
[0093] The data unloading module is set at the MEC, and is used to control the MEC to pr...
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Abstract
The invention relates to a random unloading method and system for an MEC server. The method comprises the following steps: S1, a node acquires basic configuration information of a network and arranges the basic configuration information into a known parameter information base; s2, establishing a system optimization model by taking minimization of the total time delay of the system as a target and queue stability as a constraint condition; s3, based on a known parameter information base, solving the system optimization model through a golden section method, and obtaining a random processing probability at the MEC through multiple times of iteration solution; and S4, the MEC performs self-processing on the data based on the random processing probability obtained by solving or submits the data to the cloud for processing. According to the method, the average waiting time delay of the user can be minimized under the condition of ensuring the stability of the actual system queue, and the efficient utilization of resources is realized; the solving method of the optimization target can be realized based on classical convex optimization algorithms such as a golden section method, required parameter information is easy to obtain, and the whole algorithm is simple and easy to expand.
Description
technical field [0001] The invention belongs to the technical field of information and communication engineering, and in particular relates to a method and system for random unloading of an MEC server. Background technique [0002] With the widespread application of multimedia technologies such as terminal games, augmented reality, and high-definition online video in mobile communications, more and more applications require persistent high-performance computing on wireless devices to perform complex tasks with ultra-low latency. In the past decade, due to the large-scale deployment of cloud computing servers, this enables wireless devices to offload intensive computational data streams to remote cloud servers with abundant computing resources. However, the remote feedback of the data stream brings a large delay problem. Based on this, people propose mobile edge computing (MEC) technology. Pushing publicly accessible computing resources to the edge of the wireless access ne...
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