Monitoring Health of Edge Devices in Real-Time

Authors

  • Meghana V RV College of Engineering
  • Anisha B S RV College of Engineering
  • Ramakanth Kumar P RV College of Engineering

Abstract

Monitoring all the edge devices in an enterprise environment or an edge computing environment can be a daunting task due to the sheer volume of edge devices deployed throughout an enterprise. As the size and complexity of computer environments grows, it is becoming more difficult to evaluate and recognize factors which restrict efficiency and scalability. Application developers and system administrators need tools that is easy to use so that they can quickly identifysystem bottlenecks in the edge device and configure the system that has best performance. System metrics are measurement types found within the system. Any resource that will be monitored for performance, availability, reliability, and other attributes will have one or more metrics about which data are collected at various intervals of time. CPU Usage (%), 15-minutes Load Average, 1-minute Load Average, Available Free Memory (MB), Disk Space (MB), Available Swap Space (MB) and so on, are some of the available edge device system metrics. The tool provides a way to monitor these system metrics in real time.

Keywords: System metrics, availability, edge device, edge computing, real-time, monitoring, system administrators.

Cite this Article: Meghana V., Anisha B. S., Ramakanth Kumar P. Rajani. Monitoring Health of Edge Devices in Real-Time. Journal of Computer Technology & Applications. 2020; 11(2): 17–25p.

Author Biographies

  • Meghana V, RV College of Engineering

    Information Science and Engineering

    Student

  • Anisha B S, RV College of Engineering

    Information Science and Engineering

    Asisstant Professor

  • Ramakanth Kumar P, RV College of Engineering

    Computer Science and Engineering

    Head of Department

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Published

2020-08-21

Issue

Vol. 11 No. 2 (2020)

Section

Articles

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