Fog node task unloading method and system based on decoy effect, medium and equipment

Abstract

The invention discloses a fog node task unloading method and system based on a bait effect, a medium and equipment. According to the method, the incentive effect of a bait effect on a user is considered, a task release environment capable of influencing fog node behavior decision is established, a task attraction value is provided for task unloading in the environment, and the fog node decision isguided in a directional mode through task release and the task attraction value; by setting the bait task, the objective attraction value of the target task is improved; on this basis, preference coefficients are introduced to reflect the real decision behaviors of the fog nodes, and the addition of bait tasks improves the subjective preference values of part of the fog nodes, so that more fog nodes participate in task thresholds, and the participation number of the fog nodes is increased. Meanwhile, compared with a comparison mechanism, the method enables more tasks to be selected without increasing task rewards, improves the total utility of the mobile equipment, and can have more practical and more effective incentive effects.

Description

technical field [0001] The invention belongs to the technical field of fog computing offloading, and in particular relates to a decoy effect-based fog node task offloading method, system, medium and equipment. Background technique [0002] Fog computing is a platform that provides computing, storage and network services through fog nodes between terminal devices and cloud centers. Devices with limited resources, such as vehicles, base stations, and access points, and devices with abundant resources, such as computer clusters, can be used as fog nodes. Compared with cloud computing, fog computing has a series of advantages such as low latency, location awareness, real-time interaction and mobile support. [0003] Due to the private nature of fog nodes, the owners of fog nodes are unwilling to actively provide task offloading services, resulting in unacceptable delays and even service interruptions. And the fog computing network is offloading based on opportunities, so it is...

AI Technical Summary

Problems solved by technology

However, the existing computing offloading incentive mechanisms are all designed based on traditional economics. These mechanisms generally believe that adding a type of task to the task set will reduce the probability of being selected for each type of task before, because the denominator increases and the numerator remains unchanged.

And the task rewards of these mechanisms are all formulated according to the task time cost, which means that if you want to increase the unloading rate of high time cost tasks, you can only achieve it by increasing the rewards of such tasks, which will inevitably reduce the mobile device. utility, and does not conform to the direction of technological development

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