Fog computing is a paradigm which brings computing, storage, and networking closer to end users and end devices for better service provisioning. One of the crucial factors in the success of fog computing is on how to incentivize the individual users' edge resources and provide them to end users such that fog computing is economically beneficial to all involved economic players. In this paper, we model and analyze a market of fog computing, from which we aim at drawing practical implications to uncover how the fog computing market should operate. To this end, we conduct an economic analysis of such user-oriented fog computing by modeling a market consisting of Infrastructure and Service Provider (ISP), end Service Users (SUs), and Edge Resource Owners (EROs) as a non-cooperative game. In this market, ISP, which provides a platform for fog computing, behaves as a mediator or a broker which leases EROs' edge resources and provides various services to SUs. In our model, a two-stage dynamic game is used where in each stage, there exists a dynamic game, one for between ISP and EROs and another for between ISP and SUs, to model the market more practically. Despite this complex game structure, we provide a closed-form equilibrium analysis which gives an insight on how much economic benefit is obtained by ISP, SUs, and EROs from user-oriented fog computing under what conditions, and we figure out the economic factors that have a significant impact on the success of fog computing.
|Number of pages||14|
|Journal||IEEE Transactions on Mobile Computing|
|Publication status||Published - 2020 Nov 1|
Bibliographical noteFunding Information:
This work was support by Institute for Information & communications Technology Planning & Evaluation grant funded by Korea government(MSIP) (No.2016-0-00160,Versatile Network System Architecture for Multi-dimensional Diversity), Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT(No. 2016R1A2A2A05921755), and BK21 Plus project of the National Research Foundation of Korea Grant. Part of this work was presented at IEEE ICC 2018, Kansas City, USA .
© 2002-2012 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering