Reliable-time-delay-guarantee-oriented end-to-edge cooperation method

Abstract

The invention relates to a reliable-time-delay-guarantee-oriented end-to-edge cooperation method, which belongs to the technical field of communication. The method comprises the following steps: S1, establishing a system model, and calculating time delay experienced by a task; S2, calculating task unloading average time delay; S3, calculating task local calculation time delay: firstly, modeling local calculation into an M / D / 1 queuing model, and performing calculating to obtain local task average time delay according to the deduced default probability model; S4, searching the optimal sending rate configuration under the configuration of different task segmentation ratios, and further selecting an optimal sending rate and an optimal task segmentation ratio; and S5, selecting an optimal sending rate and task segmentation, and starting task sending and calculation. According to the method, an embedded Markov theory is adopted to model a calculation unloading average time delay model, localcalculation average time delay is derived based on a network calculation theory, an unloading proportion and an unloading rate of a task flow are optimized based on a time delay demand of a task, anda time delay default probability of the task is minimized.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a terminal-edge coordination method oriented to reliable delay guarantee. Background technique [0002] As a new computing paradigm, edge computing fully integrates the advantages of local computing and edge computing to effectively improve task latency. Existing technologies about end-edge collaboration or edge computing mainly optimize the computing efficiency, energy efficiency, and spectrum efficiency of the system from the perspective of the overall system. This type of technology often has a task generated and It is completed under the background that the delay of the task is equal to the length of the decision cycle. In recent years, among the existing technical solutions on latency guarantees are: device-to-device (D2D) mobile edge computing offloading solutions, devices can offload their computing tasks to edge servers, and can also use computing resources of nearby...

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Problems solved by technology

[0003] There are still the following problems in the existing technology of terminal-side collaboration: 1) Although the optimization method from the perspective of the system can guarantee the minimum average delay of all users, however, in the actual communication system, the delay guarantee of different types of tasks The requirements usually show a large difference; 2) the existing technology usually assumes that each scheduling delay device generates a task, however, there are still many randomly arriving services with strong bursts in the actual network; 3 ) wireless channel is highly time-varying. The existing technology usually assumes that the real-time state of the channel is known, and the lossless offloading of tasks can be realized based on the Shannon capacity. For devices with long-term channel measurement, it will bring large energy and computing overhead. The traditional end-side coordination technology based on the optimal average throughput or the optimal average delay is less effective in ensuring the reliability of specific task delays. There are deficiencies

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