PROJECT TITLE :

Profit Maximization Incentive Mechanism for Resource Providers in Mobile Edge Computing

ABSTRACT:

Mobile edge computing, also known as MEC, has emerged as a potentially useful method for satisfying the needs of mobile devices with limited resources by offloading the required work onto edge clouds located nearby. However, the majority of currently published works only focus on whether or not to offload a task and where to offload it, but they ignore the reasons why edge clouds offer their services. It is essential to design an incentive mechanism that charges mobile devices and rewards edge clouds in order to stimulate service provisioning by edge clouds. This mechanism should also reward edge clouds. In the first part of this paper, we make a proposal for an incentive mechanism that operates in an atmosphere where there is no competition. We establish the relationship between the resources provided by edge clouds and the price charged to mobile devices by making use of a pricing model that is market-based and maximizes market participants' profits. By finding a solution to the optimization problem, we are able to provide a pricing strategy that is reasonable. This not only ensures that resource providers will make a profit, but it also ensures that mobile devices will have a high quality of experience (QoE). In addition, we design an online profit maximization multi-round auction (PMMRA) mechanism for the trading of resources between mobile devices as buyers and edge clouds as sellers in an environment where competition is present. The mechanism is able to effectively determine the price that buyers will pay in order to make use of the resources that are provided by sellers, and it can also make the appropriate match between edge clouds and mobile devices. In conclusion, the numerical results demonstrate that the proposed mechanism is superior to other algorithms already in existence in terms of maximizing the profit that edge clouds can generate.