A Cooperative Computing Offloading Method Based on Fiber-Wireless Network

Abstract

The invention discloses a collaborative computing unloading algorithm based on a fiber-wireless network. On the structure of a hybrid fiber-wireless network, the problem of collaborative computing offloading of a centralized cloud and an edge cloud for multiple users in a multi-wireless channel interference environment is considered. The method First, collect information about computing tasks and networks, calculate the task processing time of each task in different offloading methods and the energy consumption of mobile devices, eliminate tasks that do not meet the time and energy consumption requirements in all offloading methods, and then use genetic Algorithm, with the goal of optimizing the total processing time of computing tasks, design computing task offloading strategies. The optical fiber-wireless network-based collaborative computing offloading method can realize effective offloading of computing tasks for real-time applications, reduce the total processing time of computing tasks, and improve user experience.

Description

technical field [0001] The present invention relates to the field of mobile edge computing offloading, and more particularly, to a collaborative computing offloading algorithm based on an optical fiber-wireless network. Background technique [0002] In recent years, with the popularity of mobile devices such as mobile phones, smart bracelets, and virtual reality (VR) glasses, many new computing-intensive and energy-intensive applications, such as face recognition, fingerprint recognition, augmented reality and Interactive games, etc. However, the computing and battery life of existing terminal devices are limited, and it is difficult for users to meet the needs of users for such new applications in terms of latency and energy consumption, which seriously affects the user experience. [0003] To solve this problem, many research works offload computing tasks on mobile devices to a centralized cloud computing (Centralized Cloud Computing, CCC) center with rich computing resou...

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Problems solved by technology

[0004] At present, many researches on MEC offloading only consider offloading tasks to MEC servers, but relatively few researches on computing resources in CCC centers. With more and more computing tasks, the resource bottleneck problem of the MEC server is becoming more and more serious

However, if only the computing resources of the CCC center are used, the transmission delay of the task will be too high

[0005] The computing offloading algorithm in the prior art only sets a threshold for the processing time of computing tasks, and few studies specifically optimize it, but the processing time of computing tasks is an item for evaluating the quality of service (Quality of Service, QoS) Very important metric, especially for online applications

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