An Enhancement for the Autonomic Middleware-Level Scalability Management Within IoT System Using Cloud Computing

被引:0
作者
Bahiri, M. N. [1 ,2 ]
Zyane, A. [2 ]
Ghammaz, A. [1 ]
机构
[1] Cadi Ayyad Univ, FST G, LEST, Marrakech, Morocco
[2] Cadi Ayyad Univ, SARS Team ENSA Safi, Safi, Morocco
来源
PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON ELECTRONIC ENGINEERING AND RENEWABLE ENERGY, ICEERE 2018 | 2019年 / 519卷
关键词
Internet of Things; Machine to machine; Scalability; IoT management; Autonomic computing; Cloud computing; Monitoring; MAPE-K cycle; Middleware;
D O I
10.1007/978-981-13-1405-6_11
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The integration of Clouds with IoT will help dealing with the incapability to scale automatically according to the overload caused by the massive growth of the connected devices number in the IoT networks. In this paper we aim to promote the scalability management, by improving the architectural design of the monitoring components using autonomic middleware for IoT systems based on Cloud Computing hybrid oriented scalability solution, in order to satisfy a maximum number of requests, while maintaining the system performances at an acceptable level. Experiments have been done so as to evaluate our solution performances, for different scenarios testbed. Generally, our results are better than existing cloud-based solution that tackles the scalability issue in IoT networks.
引用
收藏
页码:80 / 88
页数:9
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