©2013 – JouleX Enterprise Energy Management Quickly identify energy waste Reduce energy usage and costs Lower carbon emissions Agentless, network-based.

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Presentation transcript:

©2013 – JouleX Enterprise Energy Management Quickly identify energy waste Reduce energy usage and costs Lower carbon emissions Agentless, network-based architecture means no costly agents Save Energy, Save Money, Save the Environment

©2013 – JouleX Some JouleX Customers

©2013 – JouleX Several Drivers for Explosive Growth in the Energy Management MarketEnvironmentEnvironment Regulatory Requirements Data Center Corporate Citizenship Escalating Energy Prices Escalating CompetitivePressuresCompetitivePressures

©2013 – JouleX What Do We Do? Measure Energy Consumption and Utilization of ALL network- connected devices and systems: Distributed Office Networks – switches, PCs, Macs, VoIP phones, access points, copiers, printers, etc. Data Centers – Physical and Virtual Servers, routers, switches, storage, etc. Facilities – HVAC, lighting, PDU, CRACs, etc. Energy Intelligence: Energy Cost Energy Usage Energy Reduction Carbon Emissions Date/Time Location Cost Center Energy Use Simulation ROI Modeling Event Based Policy Rule Based Policy Time Based Policy Device Utilization Load Adaptive TM Computing

©2013 – JouleX All Networked Devices and Systems Distributed Office NetworkFacilities Data Center HVAC Lighting Access Control Systems Video Cameras CRAC Storage Core Switches Virtualized Servers IBM Mainframes Blade Servers Servers UPS PDU CPUs RoutersSwitches Printers Desktops VoIP Phones Thin Clients Macs Laptops Access Points Servers

©2013 – JouleX Enterprise Energy Management IP-based Network & IT Infrastructure Energy Domains Distributed Office Data CenterFacilities Monitor Analyze Control Monitor Analyze Control Monitor Analyze Control

©2013 – JouleX Quick Time To Value Asset Connectors

©2013 – JouleX How Much Could I Possibly Save “What-If” Scenarios Scenario #1 Scenario #2 Scenario #3 Save $X Save $Y Save $Z SANDBOX Policy

©2013 – JouleX Policies Time-Based Facilities: Set Points Distributed Office: PC Power Mgmt Wireless Access Point VoIP Handset Event-Based Demand Response: Respond to Energy events with policies Systems Management: Integration with Systems Management tools and user authentication events Location-Based Using GPS Smart Phone and Badge Management Integrates with: Facilities PC Power Mgmt VoIP Handsets Data Center Load Adaptive Networking Scale switch performance based upon network load Enable EEE in the DC Load Adaptive Computing Scale server performance based upon utilization Maximize VM Energy Efficiency

©2013 – JouleX *Estimates 65% desktops, 35% laptops, 1 AP for every 20 employees, everyone has an IP Phone. Assumes $0.12 per kWh (kilowatt-hour). Based on powering down 10 hours/night, 24 hours on weekends. Laptops are 10-20% based on low percentage left in office at night and weekends. Results in up to $50K in Savings Annually (per 1000 employees) $95 $35 $30 $12 $ % 10–20% 50-60% $50-60 $6-8 $15-18 $6-7 $4-5 Desktop Laptop Monitors PoE AP IP Phones Annual Energy Cost by Device JEM Annual Savings JEM Annual Savings per Device Per 1000 Employees Working 9 Hours a Day, 5 Days a Week… JouleX Operating Savings: Distributed Office $33,962 $1,837 $10,725 $330 $3,850 JEM Total Savings

©2013 – JouleX *Estimates assume $.12/kWh. 10% or 100 retired servers save $400 each. 5% or 50 servers are upgraded and save $100 each per year because new servers are more energy efficient. 20% or 200 servers are virtualized at a ratio of 10:1. Therefore, 200 servers are replaced with 20 servers costing $600 in energy/server. 30% of servers or 300 can be power capped 8 hrs/day consuming 50% less power/cost for those hours, saving 16%. Indirect savings costs/server are from software licenses, support and maintenance. Cooling savings is based on 1.5 PUE. Results in up to $380K in Savings Annually per 1000 servers $ % 25% 85% 16% $400 $100 $400 $64 Per 1000 Data Center Servers JouleX Operating Savings: Data Center Power Cap Servers Retire Dead Servers Virtualize Servers Upgrade Servers 10% 5% 20% 10:1 30% $40,000 $5,000 $68,000 $19,200 Direct Costs Indirect Costs 100%$500 Annual Indirect Costs by Server Annual Savings Annual Savings per Server Retire Dead Servers (Licenses, Support & Maint) $50,000 10% $400100%$400 Cooling Savings $198,300 Total Annual Savings Annual Energy Cost by Server JEM Annual Savings JEM Annual Savings per Server Total Annual Savings $ PUE

©2013 – JouleX JouleX / Value Proposition 1.Sell more networking infrastructure: upgrades, competitive wins, expansion into other energy domains -VoIP (deep sleep feature) -Server (power-capping) -PoE+ and VDI support 2.Demonstrate the value Monitor, measure, analyze and control: -~100 EW-compatible products (plug and play) -Identify and measure all network and endpoint devices -100% coverage of all IP-connected and non-IP connected devices -Easily power-manage PoE devices -JouleX extends power-management to non-PoE devices and systems

©2013 – JouleX JouleX Value Proposition 3.Use Energy as Differentiator -Demonstrate energy-efficiency superiority over competition -Drive network equipment upgrades via Energy 4.Expand network infrastructure beyond IT (campus & data center) to other energy domains via EW, EW Partners & JouleX… -Facilities -Manufacturing -Supply chain

©2013 – JouleX Value to Your Customers: In the Data Center  Sustainable Procurement: Utilize actual power consumption, energy cost and environmental impact in total cost of ownership (TCO) calculations during the procurement process for Data Center equipment  Identify Dead Servers for Retirement: Energy utilization reports identify the dead servers for retirement (Servers that are consuming power but running no workloads)  Identify Virtualization Candidates: Pinpoint under-utilized servers and low- density servers consuming the most energy (prime candidates for virtualization)  Chargeback: Group energy use by organizational structure to allocate energy charges  Sustainability reporting: Report LIVE carbon emissions and savings  Load Adaptive Computing: Advanced control capabilities to better match energy use with performance needed to maintain service levels (power capping, power performance leveling and VM load balancing)

©2013 – JouleX Realtime Enterprise-wide Energy Visibility

©2013 – JouleX Flexible Dashboard

©2013 – JouleX Reporting Multilingual Reports

©2013 – JouleX JEM Reports

©2013 – JouleX JEM Reports

©2013 – JouleX Reporting New Device Model Reports Model AnalysisModel Replacement

©2013 – JouleX Map Server Energy Consumption with Utilization

©2013 – JouleX Set Energy Policies for Optimization

©2013 – JouleX Reporting Datacenter Report Utilization AnalysisIdle Analysis

©2013 – JouleX Thank You! 877-JouleXnet