Joint pricing and resource allocation method in mobile self-organizing cloud

Abstract

The invention discloses a joint pricing and resource allocation method in a mobile self-organizing cloud, comprising the following steps: a nearby mobile edge device user registers information to a reliable proxy in the mobile cloud; the proxy in the mobile cloud publishes the price of unit sharing resources; each demand user maximizes own utility function to select the required number of resources, and each supply user maximizes own utility function to select the number of the shared resources; and finally, the proxy reasonably and effectively realizes resource sharing by adopting a proportionally fair distribution mode according to the demands of the demand user and the supply user and the number of the supply resources. According to the method in the invention, the effective price is designed to stimulate the mobile edge device to participate in resource sharing, and an efficient, flexible and fair resource allocation method is provided in a proportionally fair distribution mode; the method is effective, and the maximum social utility can be achieved.

Description

technical field [0001] The invention belongs to the technical field of mobile cloud computing, and specifically relates to a joint pricing and resource allocation method in a mobile ad hoc cloud. Background technique [0002] Mobile cloud computing technology has recently been more and more applied due to the popularity of mobile devices, demand-based and convenient access, so that users can offload tasks that cannot be processed by their mobile devices to remote cloud resources, such as Amazon, Google. Mobile cloud computing technology can provide resources such as virtual computing, storage and network as services to users. Although this new solution can bring convenience to people, it also brings new challenges. For example, users cannot tolerate long delays, users cannot connect to remote clouds, etc., so mobile edge computing technology emerges as the times require, especially The mobile ad hoc cloud computing technology has developed rapidly, and the mobile ad hoc cl...

AI Technical Summary

Problems solved by technology

Although this new solution can bring convenience to people, it also brings new challenges. For example, users cannot tolerate long delays, users cannot connect to remote clouds, etc., so mobile edge computing technology emerges as the times require, especially The mobile ad hoc cloud computing technology has developed rapidly, and the mobile ad hoc cloud advocates resource sharing between mobile edge device users.

Although the emergence of mobile ad hoc cloud solves the above problems, some new problems appear at the same time. One of the more prominent problems is that mobile edge device users are rational and selfish, and there may be conflicts of interest among these mobile users. How to design an effective incentive mechanism to motivate selfish mobile users to participate in resource sharing; since the resource pool in the mobile ad hoc cloud is shared by multiple mobile edge devices, another prominent issue is how to design an effective mechanism to combine multiple Resource demand user's resource request is allocated to multiple resource supply users

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