The Datacenter Management System using IoT Sensors

Abstract

The Absence of information related to the Data Center (DC) leads to problems and difficulties when planning appropriate interventions. Although, Internet of Things (IoT) sensors can help us to get a large amount of data about the consumption of energy and indoor condition (fire, temperature, air quality, smoke detection, occupancy, liquid, etc.) of the DC that can choose the right option to control the disaster. Datacenter faces critical problems either failure or malfunction of components likewise servers, racks, fire, pressure of components, smoke air quality, temperature, etc. There is not any proper framework that can deal with these issues, predict, react, and inform accordingly to the respected accordingly before it gets too late. For instance, OvhCloud (French service firm) DC from fire in 2021, British Airways DC in May 2017 from a power supply (UPS), Cybernet-StormFiber head office in Karachi, Pakistan from fire in Dec 2019, and many more.In contrast, this research is going to integrate the IoT sensors (fire, temperature, air quality, smoke detection, occupancy liquid, etc.) in the DC along with the BIM model to iteratively monitor the facility 24/7 and visualize the condition of the premises and inform (cell phone, email, etc.) the accountable authority. This framework is predictive based on the information received and reacts according to the parties. However, this research makes the maintenance efficient for the DC building and integrates such a designed framework mixture of BIM and IoT platforms. It is to be noted here, that the IoT will be integrated into the cloud and sensors on the building and that will enable the real-time detection of numerous forms of problems either failure or malfunction of components (servers, racks, networking connectivity infrastructure, cooling, and airflow, etc.). Due to this, information will be sent to the responsible authority.