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

Abstract

The invention discloses a decoy effect-based fog node task offloading method, system, medium and equipment. The invention considers the incentive effect of the decoy effect on users, establishes a task release environment that can affect the behavior decision-making of fog nodes, and provides information to the environment The task attractiveness value is provided by the middle offloading task, and the decision-making of the fog node is directed through the task release and the task attractiveness value; by setting the decoy task, the objective attractiveness value of the target task is improved; on this basis, the preference coefficient is introduced, Reflecting the real decision-making behavior of fog nodes, the addition of decoy tasks increases the subjective preference value of some fog nodes, makes more fog nodes participate in the task threshold to be satisfied, and increases the number of fog nodes participating. At the same time, compared with the contrasting mechanism, this scheme allows more tasks to be selected without increasing task rewards, which improves the total utility of mobile devices, and this scheme can have a more practical and effective incentive effect.

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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