QoS-Aware Matching of Edge Computing Services to Internet of Things
Nafiseh Sharghivand, Farnaz Derakhshan, Lena Mashayekhy · 2018
Edge computing is a new paradigm of computing, which aims at enhancing user experience by bringing computing resources closer to where data is produced by Internet of Things (IoT). Cloudlets, additional infrastructure components nearby users, facilitate edge services to decrease latency and network traffic. IoT users require edge services for their applications meeting a strict quality of service (QoS). A key challenge is how to efficiently match cloudlets to IoT applications to enable a convenient any-time access to edge computing services. In this paper, we address this problem by proposing novel two-sided matching solutions for edge services considering QoS requirements in terms of service response time. The matching mechanisms enhance the quality of experience of the users. In addition, we determine dynamic pricing of the edge services based on preferences and incentives of cloudlets, IoT users, and the system. The proposed matchings are Pareto-efficient, incentive compatible, weakly budget balanced, and computationally efficient. We perform a comprehensive assessment through extensive performance analysis experiments to evaluate our proposed matching and pricing solutions.