The benefits of data center temperature monitoring
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1 The benefits of data center temperature monitoring Ş. Albert, M.R.C. Truşcă, M.L. Soran National Institute for Research and Development of Isotopic and Molecular Technologies, Donat, Cluj-Napoca, Romania;
2 INCDTIM Datacenter Grid site RO-14-ITIM 400 CPU Core, Storage 100 TB, Technology 1U servers + Blade system (IBM & HP) HPC Cluster (IBM idataplex unit) 512 CPU Core (16 Core, 96 GB RAM, 450 GB HDD / Computing unit), Storage 15 TB Network infrastructure of the Institute Applications servers ( , web, ftp, databases) Cisco Core switching system 2
3 Network capabilities Layer 3 Core Switch - Cisco 6509E 10 Gbps link to RoEduNet starting from 1 Feb Nexus switching system 40 Gbps inside the Grid site 20 Gbps between Grid Site and Core Switch 3
4 Why temperature monitoring? the temperature is an important parameter for the equipment functioning. the computer systems are designed to work efficiently when the ambient temperature is in the range C. constant temperature air conditioning systems power consumption to minimize energy consumption
5 Practical implementation The followed parameters: voltage power supply of the cooling units; temperature in different points of data center; humidity in different points of data center; state of functioning of the air conditioning unit fans.
6 Hardware components 1. digital power meter type UPT- 210 (built by Algodue Elettronica, Italy) that provide information about power line parameters. Electrical values measured are: The system voltage and the phase voltages Phase currents, and current absorbed by the system Power factor, Frequency Active, Reactive and the Apparent power
7 2. microcontroller-based module (designed and built in INCDTIM) that measured temperatures, humidity and monitor the state of the AC units using different type of sensors. The temperature sensors, LM35 (National Semiconductor), allow to measure temperatures in the range C with 0.5 C accuracy without the need for calibration. The humidity sensors, SYH-2R, allow determining the humidity in the range % with an acceptable accuracy (3 to 5%) for usual temperatures (0-70 C)
8 Block diagram of the monitoring system NEW: Humidity sensors Electronic schema for adaptation board and sensors
9 Software components Graphic interface for cooling system, temperature and humidity monitoring
10 Both software applications have a graphic interface and they are designed to: - read the watched parameters values and display them online; - register all the values over the time; - generates an alarm when values are out of established range; - implements 2 mechanisms: trigger an alarm by authorized users and send an abort command.
11 Schema of Data Center R1 R2 network distribution racks R3 R8 computing servers racks R4 HPC rack R7 GRID rack - position of the temperature sensors - position of the humidity sensors - ventilation grids
12 Variation of different parameters T( 0 C) a) T :18:07 AM 9:54:23 AM 10:26:05 AM 11:02:50 AM 11:31:11 AM 11:59:11 AM 12:24:35 PM 12:55:28 PM 1:24:16 PM 1:55:58 PM 2:23:31 PM 2:51:56 PM 3:17:46 PM 3:42:48 PM 4:10:48 PM 4:51:14 PM 5:30:02 PM 6:27:37 PM 8:43:39 PM 10:27:58 PM 1:31:18 AM 3:22:57 AM 5:11:27 AM 7:03:41 AM 7:58:22 AM 8:28:24 AM 8:57:13 AM 9:27:07 AM 9:54:40 AM 10:23:05 AM 10:50:36 AM 11:26:28 AM 11:54:00 AM 12:24:28 PM 12:53:15 PM 1:27:03 PM 1:57:31 PM 2:33:52 PM 3:18:28 PM 3:51:37 PM 4:23:45 PM 5:23:50 PM 7:38:37 PM 9:05:24 PM 10:50:08 PM 1:02:00 AM 3:32:13 AM 5:22:47 AM 6:22:52 AM 7:20:29 AM 8:00:31 AM 8:29:43 AM 8:57:41 AM 9:24:48 AM 9:50:15 AM 10:20:43 AM 10:51:36 AM 11:24:59 AM 12:02:57 PM 12:43:00 PM 1:14:18 PM Hour (hh:mm:ss) T2 T3 T4 T1 - rack site GRID T2 - HPC cluster rack T3 - temperature of the heat agent of AC unit T4 - outside ambient temperature P(kW) b) P P1 P2 P :17:24 AM 10:10:45 AM 11:04:07 AM 11:57:28 AM 12:50:50 PM 1:44:11 PM 2:37:32 PM 3:30:54 PM 4:24:15 PM 5:17:37 PM 6:10:58 PM 7:04:19 PM 7:57:41 PM 8:51:02 PM 9:44:24 PM 10:37:45 PM 11:31:06 PM 12:24:28 AM 1:17:49 AM 2:11:11 AM 3:03:31 AM 3:56:53 AM 4:50:14 AM 5:43:35 AM 6:36:57 AM 7:30:18 AM 8:23:40 AM 9:20:01 AM 10:13:22 AM 11:06:43 AM 12:00:05 PM 12:53:26 PM 1:46:48 PM 2:40:09 PM 3:33:30 PM 4:26:52 PM 5:20:13 PM 6:13:35 PM 7:06:56 PM 8:00:18 PM 8:53:39 PM 9:47:00 PM 10:40:22 PM 11:33:43 PM 12:27:05 AM 1:20:26 AM 2:13:47 AM 3:07:09 AM 4:00:30 AM 4:53:52 AM 5:47:13 AM 6:40:35 AM 7:33:56 AM 8:27:17 AM 9:20:39 AM 10:14:00 AM 11:07:22 AM 12:00:43 PM 12:54:04 PM a) registered temperatures in the fixed points; b) power consumption in the same period Hour (hh:mm:ss) 12
13 Test periods for reducing energy consumption
14 Simulation of data center operating using experimental data registered
15 Hour t t DC ( C) ext no. of AC t t ( C) units DC ( C) ext no. of ( C) AC units t t ext no. of AC DC( C) ( C) units , , , , , , , , , , , , , , , , , , , , ,57 9, , , ,61 9, , , ,64 9, , , , , , , , , , , , , , , , , , ,73 9 2
16 Conclusions The device allows to register some parameters in different points of Datacenter and monitoring of these parameters can be achieved in realtime. The variation of the parameters values can be followed by data interpretation on different period of time and season. Advantages of the temperature monitoring: - simulation of the Datacenter operation based on recorded data for long periods of time; - setting a schedule for operation of the air conditioning system; - maintaining Datacenter environmental conditions in the range in which computer systems work efficiently; - reducing energy consumption; It can be determined and implemented a system of functioning of the entire system, in order to improve resource utilization. ACKNOWLEDGEMENTS The authors would like to express appreciation for the support of the Romanian National Authority for Scientific Research, CNCS UEFISCDI, through the projects 8EU/2012 and IUCN-DUBNA.
17 Thank you for your attention!
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