A study on the fast system recovery: Selecting the number of surrogate nodes for fast recovery in industrial IoT environment
| Title | A study on the fast system recovery: Selecting the number of surrogate nodes for fast recovery in industrial IoT environment |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Lee, S. Y., Chung, T. M. |
| Conference Name | 2017 International Conference on Information and Communications (ICIC) |
| Publisher | IEEE |
| ISBN Number | 978-1-5386-0962-0 |
| Keywords | Algorithm design and analysis, Conferences, Fast Recovery, fast system recovery mechanism, industrial IoT environment, Industrial IoT(IIoT), Internet of Things, IoT gateway, machine learning, network servers, pubcrawl, regression analysis, Resiliency, Sensors, Servers, surrogate nodes, System recovery |
| Abstract | This paper is based on the previous research that selects the proper surrogate nodes for fast recovery mechanism in industrial IoT (Internet of Things) Environment which uses a variety of sensors to collect the data and exchange the collected data in real-time for creating added value. We are going to suggest the way that how to decide the number of surrogate node automatically in different deployed industrial IoT Environment so that minimize the system recovery time when the central server likes IoT gateway is in failure. We are going to use the network simulator to measure the recovery time depending on the number of the selected surrogate nodes according to the sub-devices which are connected to the IoT gateway. |
| URL | https://ieeexplore.ieee.org/document/8001669 |
| DOI | 10.1109/INFOC.2017.8001669 |
| Citation Key | lee_study_2017 |