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SynapSens e www.SynapSense.co m WSN Market Evolution 200020072010 WSN 2 nd Generation The Commercial Era Customer Requirements: Hardware platform flexibility.

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Presentation on theme: "SynapSens e www.SynapSense.co m WSN Market Evolution 200020072010 WSN 2 nd Generation The Commercial Era Customer Requirements: Hardware platform flexibility."— Presentation transcript:

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2 SynapSens e m

3 WSN Market Evolution WSN 2 nd Generation The Commercial Era Customer Requirements: Hardware platform flexibility Hardware platform flexibility Accelerated application development time Accelerated application development time Enable broadly varying sensor networks Enable broadly varying sensor networks Rapid adoption of continuously emerging technology improvements Rapid adoption of continuously emerging technology improvements Result: Complete, commercial solutions WSN 1 st Generation The Research Era Issues: Incomplete Solutions Subject to the Tech Treadmill Many non-standard platforms Difficult to build, deploy and manage Domain-specific languages Result: Few complete solutions, fragmented value-chain

4 System Overview System Software Stack Applications Network Stack 2 Data Integration ! Alert System 7 GUI 6 Gateway EAI Web Services, SNMP, BACnet ModBus 5 Data and Control Bus Data Analysis 4 Data Analysis Software ……….. … 4212: :001 TempTimeNode Storage XML, SCADA 3

5 The Ecosystem Challenge Sensors WSN boards Data Collection Database WSN Packages Business Intelligence Installation Service & Support Visualization WSN Infrastructure ChipsBoards Kits OkiTendrilXBow MangoAugustaArch Rock AtmelIntegrationEmber TIAirbeeDust Aginova WSN Solutions Siemens Emerson GE Sentilla Data Center Wired Solutions IBM Liebert Sitescan HP Dynamic Smart Cooling APC NetBotz Very Difficult Bag of Parts Expensive & Intrusive Intrusive

6 SynapSense Solution Overview Architectural Overview

7 Rack Thermals LeakDetection Door Status Door Status Branch Circuit Monitoring Power Metering Power Metering Air Pressure Chilled Water BTU Sensor Types Room RH & Dew Point

8 Rack Temperature RH Current Power Sub-floor Pressure Differential CRAH Supply & Return Air Temp Supply RH Chilled Water Supply & Return Temp Fan Power Chilled Water Flow (Captured at CRAH) PDU Current, Voltage & Power SynapSense Solution Overview

9 S LiveImaging S ynapSoft 4.0 Ground-breaking 2D maps use your real-time data center analytics to create a visual description of your environment. Live Environmental Imaging is a special service for SynapSense customers. 2D Thermal Map 2D Pressure Map 2D Humidity Map

10 9 Towards a Greener Data Center: Tools & Techniques UCCSC 2008, UC Santa Barbara Gregory Bell Acting Chief Technology Architect, IT Division Lawrence Berkeley National Laboratory July 21, 2008

11 10 Motivation Energy efficiency = core DOE mission several LBNL researchers study power consumption of IT equipment (data centers, servers, power supplies, cooling, UPS technology) More pragmatically: data center resources are increasingly scarce! power, space, cooling all in short supply Why? Significant growth in cluster computing: 40% of LBNL scientific teams need or use clusters 70% interested in cycles on shared cluster 10

12 11 Motivation: scientific computing Demand for computing cycles is growing rapidly on many campuses, not just LBNL the direct expression of a broad scientific need ITs primary data center runs out of capacity between 2010 and 2012 depending on cluster growth rate (7% - 20%) Strategically, we must maximize efficiency of current data center even as we locate new space 11

13 12 The story of a data center: 50B-1275 Several decades old ~5000 sq ft 18 raised floors ~.5MW total power consumption Combination of clusters and business systems clusters account for almost all new demand Unusual cooling system 7 down-shot CRACs for under-floor supply supplementary overhead supply (chiller coil + fans)

14 13 The story of a data center: 50B-1275 Starting summer of 2007, IT began a data center efficiency effort In collaboration with researchers in EETD, we perform a series of engineering studies documenting electrical, mechanical systems measuring loads & capacities; performing CFD calculating efficiency identifying opportunities for improvement deploying wireless sensor system (more later)

15 14 What we learned The data center was overcooled but this is the norm Abundant low-hanging fruit simultaneous humidification & dehumidification blanking panels missing excessive number of perforated floor tiles air-flow pathologies (mixing, short-circuiting) The data center was relatively efficient! none of the clusters backed by UPS

16 15 Taking steps to increase efficiency Improved airflow overhead plenum converted to hot-air return supplementary cooling directed under floor floor-tile tuning blanking panels, curtains, etc Virtualization Water cooling Wireless environmental monitoring system

17 16 Steps to increase efficiency Improved airflow overhead plenum converted to hot-air return supplementary cooling directed under floor floor-tile tuning blanking panels, curtains, etc Virtualization Water cooling Wireless environmental monitoring system focus of remainder of talk

18 17 The importance of visualization 17 systems & network administrators have tools for visualization useful for debugging, benchmarking, capacity planning, forensics data center managers have comparatively poor visualization tools

19 18 One form of visualization: CFD Images: ANCIS

20 19 Visualization and real-time monitoring We installed a wireless sensor net from SynapSense 200 monitoring points temperature, humidity, under-floor pressure, current For the first time, we have a detailed understanding of environmental conditions in the data center real-time and historical graphs underlying database SynapSense is a technology transfer success story from UC Davis CTO and co-founder is Raju Pandey, also Computer Science professor at UCD You cant control or manage what you dont measure.

21 20 SynapSense hardware wireless sensor network self-organizing nodes (not ) multi-hop routing non-invasive installation 2 internal & 6 external sensors per node we measure temp., humidity, pressure, current we could measure liquid flow, liquid presence, particle count Image: SynapSense

22 21 Learning from the sensors lesson #1: eat your spinach! effect of adding one 12 blanking panel to the middle of a rack conventional wisdom is correct: blanking panes are essential other data center clichés also borne out eliminate leaks in floor manage floor tile permeability Top of rack Middle of rack

23 22 Visualizing impact of site modifications Graphing impact of major maintenance (redirection of overhead cold air supply underfloor) on air pressure in some areas, under-floor pressure increased by almost 50% impact varies according to distance from new air supply

24 23 Visualizing impact of maintenance each CRAC turned off in turn, for service hot spots monitored during maintenance two-fold benefit real-time feedback enhanced knowledge of data center redundancy characteristics provisionally turn off one or more CRAC units? Under-Floor Pressure Rack-Top Temperatures

25 24 Feedback on floor-tile tuning in the course of one day 24 perforated floor tiles removed 6 floor tiles converted from high- to low-flow 4 floor tiles converted from low- to high-flow Before After

26 25 Feedback on floor-tile tuning with instrumentation, we can observe results in real time when airflow is restricted, under-floor pressure increases rack-top temperatures decrease without monitoring and visualization, this process is guesswork how many tiles to remove? Under-Floor Pressure Rack-Top Temperatures

27 26 Focus on a single sensor iterative process: too cold, too hot, just right monitor with laptop in data center for convenience

28 27 LiveImaging heat-map movies 27

29 Data Center Value Monitoring 24x 7 Visibility / Alerts & Alarms / Analysis PUE / DCiE / RTI DC Health & Efficiency Metrics Branch Circuit Monitoring Capacity Planning Control DC Automation DC Optimizations Air Mixing Mitigation

30 AdaptiveCoolingControl 33 Air Flow Management Management 22 Visibility Visibility 11 SynapSense 3-Step Process to Adaptive Cooling

31 Environmental Baseline & Results SynapSense Thermal LiveImaging Baseline C H HC No Containment High Degree of Air Mixing High Inlet Temperatures

32 SynapSense Solution Overview Cold Aisle Containment

33 Environmental Baseline & Results SynapSense Thermal LiveImaging After Containment C H HC Cold Aisles Contained No Change to CRAHs Overcooled

34 Environmental Baseline & Results SynapSense Thermal LiveImaging With Control C H HC Controlled CRAHs ASHRAE Inlet Temperatures Increased Return Temperatures

35 Environmental Baseline & Results SynapSense Thermal LiveImaging With Control After Containment Baseline C H HC C H HC C H HC

36 One Solution – Three Vectors Balance Cooling Capacity Optimize: Air Pressure & Flow CRAC/CRAH Utilization Balance Cooling Capacity Optimize: Air Pressure & Flow CRAC/CRAH Utilization Synergize IT & Facilities – One Dashboard Integrated Tool Suite Optimized Capacity Planning Balanced IT & Infrastructure Synergize IT & Facilities – One Dashboard Integrated Tool Suite Optimized Capacity Planning Balanced IT & Infrastructure Improve Energy Management UPS Capacity Planning Energy Baseline Metrics – PUE / DCIE Improve Energy Management UPS Capacity Planning Energy Baseline Metrics – PUE / DCIE CoolingCooling PowerPower OperationsOperations OptimizationOptimization BalanceBalance EfficiencyEfficiency

37 Qualified for Utility Rebates SMUD: will provide incentive $0.14/kWh saved not to exceed 30% of project cost or $50,000 PG&E encourages continuous monitoring by the customer, as changes are invariably made when racks are added or moved. The SynapSense Wireless Sensor Network is an excellent way for the customer to ensure that his/her airflow is maintained at optimal efficiency. Francois Rongere, PG&E PG&E: Once improvements made, customer receives incentive of $.08 per kWh saved, up to half cost of improvements SVP: will rebate $0.18/kWh saved up to 80% of the solution cost with proven savings


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