Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II

Research Article

IoT-Architecture-Based All-in-One Monitoring System Design and Implementation for Data Center

  • @INPROCEEDINGS{10.1007/978-3-319-66628-0_35,
        author={Jinde Zhou and Wenjun Xu and Fan Yang and Jiaru Lin},
        title={IoT-Architecture-Based All-in-One Monitoring System Design and Implementation for Data Center},
        proceedings={Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II},
        proceedings_a={CHINACOM},
        year={2017},
        month={10},
        keywords={All-in-One monitoring system Data center CAN-BUS IoT Integrated management},
        doi={10.1007/978-3-319-66628-0_35}
    }
    
  • Jinde Zhou
    Wenjun Xu
    Fan Yang
    Jiaru Lin
    Year: 2017
    IoT-Architecture-Based All-in-One Monitoring System Design and Implementation for Data Center
    CHINACOM
    Springer
    DOI: 10.1007/978-3-319-66628-0_35
Jinde Zhou1, Wenjun Xu1,*, Fan Yang1, Jiaru Lin1
  • 1: Beijing University of Posts and Telecommunications
*Contact email: wjxu@bupt.edu.cn

Abstract

Modularization and integration are becoming the mainstream trend in the development of data center. However, the integrated monitoring of power and environment has been a challenge in data centers. An All-in-One monitoring system design and implementation has been developed based on Internet of Things (IoT) architecture in this paper. The hardware is composed of two levels: one integrated monitoring gateway and several monitoring modules through the CAN-BUS network. The two-level structure design enables us to achieve module splicing and flexible deployment easily as well as rapid troubleshooting. A series of software applications are developed to establish the sensor network and collect sensor data. In addition, a web interface is provided for users to master the state of data center conveniently. Laboratory tests verify that the proposed system is able to offer automatic and intelligent support for data center management, thus significantly reducing the cost of labor and operation.