کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4962032 | 1446517 | 2016 | 6 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A Remote System for Monitoring Auxiliary Data Center from Environmental Threats with Lower Hardware Cost A Remote System for Monitoring Auxiliary Data Center from Environmental Threats with Lower Hardware Cost](/preview/png/4962032.png)
There are some data centers that are located far from the main data center for ensuring continuity of company's Information Technology operations in case the main data center encounters a serious downtime especially for companies engaged to work in distributed manner to increase quality-of -service to their customers. Environmental downtime is a significant cost to organizations and makes them unable to do business because what happens in the data center affects everyone. In addition, the amount of electrical energy consumed by data center increases with the amount of computing power installed. One strategy of reducing energy consumption in data centers is to adjust the temperature and humidity data. Installation of physical Information Technology and facilities related to environment on monitoring temperature, humidity, power, flood, smoke, air flow, room entry is the most proactive way to reduce the unnecessary costs of expensive hardware replacement or unplanned downtime and decrease energy consumed by servers. In this paper, we present remote system for monitoring auxiliary data centers implemented using open-source hardware platforms, Arduino, Raspberry Pi, and the Gobetwino. The objective of collecting temperature and humidity data allows monitoring server's health and gets alerts if things start to go wrong. When the temperature hits 50oC., the supervisor at remote headquarters would get a SMS, then take appropriate actions that make sense to reduce electrical costs and preserve functionality of servers in auxiliary data centers. The data center environmental monitoring represents a step forward towards addressing awareness monitoring of energy efficiency and data centers located far with ability to receive a notification by email.
Journal: Procedia Computer Science - Volume 98, 2016, Pages 187-192