Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6900319 | Procedia Computer Science | 2018 | 5 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Yue Zhao, Xin Feng, Na Chen, Yaoguang Wang, Yijun Yu, Hongbo Wang,