Optimization of Sensor Location in Data Center

The increase demand of data center has been increase significantly due to the rapid growth ICT technology. As a result this brings along the “green” issues in data center such as energy consumption, heat generation and cooling requirements. These issues can be addressed by “Green of/by IT” in the context of operating costs as well as the environmental impacts. To accommodate temperature monitoring system in every corner of data center is cost inefficient. Optimized location for sensor placement is needed to be determined, to reduce the monitoring cost. It needs to be decided which locations to observe in order to most effective results, at minimum cost. Furthermore, it is argued that in depth knowledge of the historical data of the data center’s highly dynamic operating condition will lead to a better management of data center resources. Thus, this project aims to create a wireless temperature monitoring system with location optimization algorithm to optimize temperature sensors deployment/locations. Furthermore, real-time temperature data collection and monitoring can be used to predict the next state of the temperature to detect potential anomaly in heat generation in the data center. Thus quick response for cooling can be invoked – Green by IT.