A multi-dimensional hierarchical performance evaluation model for edge cloud platform

被引：2

作者：

Zhao, Yue ^{[1
]}

Feng, Xin ^{[1
]}

Chen, Na ^{[1
]}

Wang, Yaoguang ^{[2
]}

Yu, Yijun ^{[2
]}

Wang, Hongbo ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China

[2] Huawei Technol Co Ltd, MBB Res Dept, Shanghai 200127, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION AND KNOWLEDGE IN THE INTERNET OF THINGS | 2018年 / 129卷

关键词：

Edge Cloud Platform; Performance Evaluation; Multi-dimensional Hierarchical Model; Analytic Hierarchy Process;

D O I：

10.1016/j.procs.2018.03.013

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. Copyright (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：389 / 393

页数：5

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