Monetizing Edge Service in Mobile Internet Ecosystem

In mobile Internet ecosystem, users (MUs) purchase wireless data services from service provider (ISP) to access and acquire the interested content (e.g., online game) Content Provider (CP). The popularity of intelligent functions AI 3D modeling) increases computation-intensity services, leading a growing computation pressure for MUs’ resource-limited devices. To this end, edge computing service is emerging as promising approach alleviate while keeping their quality-of-service, via offloading some tasks MUs edge (computing) servers deployed at local network edge. Thus, (ESP), who deploys offers service, becomes an upcoming new stakeholder in ecosystem. work, we study economic interactions MUs, ISP, CP, ESP ecosystem with where can computation-intensive (offered by CP) offload tasks, together necessary raw input data, (deployed ESP) through ISP. We first MU's Joint Acquisition Task Offloading (J-CATO) problem, which aims maximize his long-term payoff. derive off-line solution crucial insights, based on design online strategy provable performance. Then, ESP's monetization problem. propose pricing policy that achieve constant fraction ex post optimal revenue extra loss ESP. Numerical results show stimulate acquisition improve payoffs CP.