Published Paper Details:

The outgoing computer paradigm promises to deliver advanced user information and enable a wide range of Internet of Things (IoT) applications. In this paper, we propose a new market-based framework for effectively allocating heterogeneous capacity-limited edge nodes (EN) resources to multiple competing resources at the end of the network. By setting the appropriate rates for locally distributed ENs, the proposed framework produces a market equity (ME) solution that not only increases computer utilization but also allocates a range of good resources to services because of budget constraints. If the use of the service is defined as the maximum revenue service can receive from its service allocation, equity can be computerized in one place by resolving the Eisenberg-Gale (EG) convex system. We also demonstrate that equity is Pareto-optimal and that it satisfies the demands of equity, including the sharing of motivation, equality, and non-envy. Also, two distributed algorithms, which successfully combine with ME, are developed.