A multi-dimensional hierarchical performance evaluation model for edge cloud platform
Yue Zhao, Xin Feng, Na Chen, Yaoguang Wang, Yijun Yu, Hongbo Wang · Procedia Computer Science · 2018
Edge computing is a new trend in the development of Internet of things, which can integrate network, computing, storage and applications to provide intelligent services. It has a broad development prospects, but also brings a lot of new problems. The performance evaluation of edge cloud platform is a crucial aspect. Existing cloud platform performance evaluation research is mostly aimed at one aspect of performance so it needs more in-depth research and improvement. In this paper, we propose a new multi-dimensional hierarchical performance evaluation model. We first study the application scenarios of the edge cloud platform and select key performance indicators. Then, we divide indicators into five categories: capacity, performance, reliability, agility and equilibrium, each category is classified to three levels. Finally, we use Analytic Hierarchy Process(AHP) method to calculate the whole performance score to evaluate edge cloud platform.