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SynapSense www.SynapSense.com WSN Market Evolution WSN 1st Generation WSN 2nd Generation The “Research” Era The “Commercial” Era Issues: Customer Requirements: 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 2000 Hardware platform flexibility Accelerated application development time Enable broadly varying sensor networks Rapid adoption of continuously emerging technology improvements Result: Complete, commercial solutions 2007 2010 100 90 80 70 60 50 40 30 20 10 0 System Overview East West t Applications C o u n P H id m rt ic le u P a H T em p ty North 1 EAI Web Services, SNMP, BACnet ModBus Alert System GUI ! 6 System Software Stack 7 5 Data and Control Bus Gateway 4 Data Analysis Software Storage 3 Data Integration 2 Data Analysis Node Time Temp … 1 12:00 42 .. 2 12:30 42 .. … … … .. XML, SCADA 802.15.4 Network Stack The Ecosystem Challenge Sensors WSN Packages WSN boards Data Collection WSN Infrastructure Boards Kits Oki Mango Atmel TI Tendril Augusta Integration Airbee XBow Arch Rock Ember Dust Aginova Installation Business Intelligence WSN Solutions Chips Bag of Parts Database Siemens Emerson GE Sentilla Very Difficult Visualization Service & Support Data Center Wired Solutions IBM Liebert Sitescan HP Dynamic Smart Cooling APC NetBotz Expensive & Intrusive SynapSense Solution Overview Architectural Overview SynapSoft™ Console Live Imaging Server™ Web Application Container Access Service RDBMS http(s) SNMP SynapSNMP Agent MIB MIB BACNet Gateway Device Manager Modbus Plugin Plugin 4-20 mA Plugin Plugin SNMP Plugin Network Management System (NMS) BACNet/IP Building Automation System (BAS) SynapAlert™ Plugin Browser Plugin BACnet Plugin Gateway Service SMTP E-mail / SMS Notifications Modbus Analog SNMP BACnet Gateway Modbus device VFD SNMP device BACnet device 802.15.4 Synapsense Sensor Nodes Sensor Types Chilled Water BTU Branch Circuit Monitoring Power Metering Leak Detection Air Pressure Rack Thermals Room RH & Dew Point Door Status SynapSense Solution Overview CRAH Supply & Return Air Temp Supply RH Chilled Water Supply & Return Temp Fan Power PDU Current, Voltage & Power Rack Temperature RH Current Power Sub-floor Pressure Differential Chilled Water Flow (Captured at CRAH) LiveImaging™ 2D Thermal Map SynapSoft™ 4.0 2D Pressure Map 2D Humidity Map 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. 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 9 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 Motivation: scientific computing • Demand for computing cycles is growing rapidly on many campuses, not just LBNL the direct expression of a broad scientific need • IT’s 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 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) 12 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) 13 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 14 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 15 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 16 The importance of visualization •systems & network administrators have tools for visualization •useful for debugging, benchmarking, capacity planning, forensics •data center managers have comparatively poor visualization tools 17 17 One form of visualization: CFD Images: ANCIS 18 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 http://www.synapsense.com “You can’t control or manage what you don’t measure.” 19 SynapSense hardware • • • • • • wireless sensor network “self-organizing” nodes 802.15.4 (not 802.11) 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 20 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 Top of rack Middle of rack eliminate leaks in floor manage floor tile permeability 21 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 22 Visualizing impact of maintenance Under-Floor Pressure • 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 Rack-Top Temperatures • provisionally turn off one or more CRAC units? 23 Feedback on floor-tile tuning Before • 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 After 24 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 Under-Floor Pressure Rack-Top Temperatures • without monitoring and visualization, this process is guesswork how many tiles to remove? 25 Focus on a single sensor • iterative process: too cold, too hot, just right • monitor with laptop in data center for convenience 26 ‘LiveImaging’ heat-map movies 27 Data Center Value Control DC Automation Branch Circuit Monitoring Capacity Planning PUE / DCiE / RTI DC Health & Efficiency Metrics DC Optimizations Air Mixing Mitigation Monitoring 24x 7 Visibility / Alerts & Alarms / Analysis SynapSense 3-Step Process to Adaptive Cooling 2 Air Flow Management 1 Visibility 3 Adaptive Cooling Control Environmental Baseline & Results SynapSense Thermal LiveImaging™ Baseline H C H C No Containment High Degree of Air Mixing High Inlet Temperatures SynapSense Solution Overview Cold Aisle Containment Environmental Baseline & Results SynapSense Thermal LiveImaging™ After Containment H C H C Cold Aisles Contained No Change to CRAHs Overcooled Environmental Baseline & Results SynapSense Thermal LiveImaging™ With Control H C H C Controlled CRAHs ASHRAE Inlet Temperatures Increased Return Temperatures Environmental Baseline & Results SynapSense Thermal LiveImaging™ Baseline H C H After Containment C H C H C With Control H C H C One Solution – Three Vectors Balance Cooling Capacity Cooling Optimize: Optimization Air Pressure & Flow CRAC/CRAH Utilization Improve Energy Management Power UPS Capacity Planning Balance Energy Baseline Metrics – PUE / DCIE Synergize IT & Facilities – One Dashboard Operations Integrated Tool Suite Efficiency Optimized Capacity Planning Balanced IT & Infrastructure Qualified for Utility Rebates PG&E: Once improvements made, customer receives incentive of $.08 per kWh saved, up to half cost of improvements SMUD: will provide incentive $0.14/kWh saved not to exceed 30% of project cost or $50,000 SVP: will rebate $0.18/kWh saved up to 80% of the solution cost with proven savings