Technical Overview

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• Technical Overview

Modius, Inc. Performance Management for the Green
Data Center Scott Brown VP Engineering scott.brow
n_at_modius.com February 2009 Version 1.1 360 22nd
Street, Suite 600 Oakland CA 94612 [phone]
CONFIDENTIAL Not for circulation
www.modius.com
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Data center operations evolving
Continuous modulation
Incremental adjustments
Over-provisioned
(Hours)
(Days)
(Months)
Dynamically adjust capacity based on continuous
input
Energy
Savings
Waste But HIGH margin for error
Optimize demand and reduce the peaks by
distributing computing load more evenly
Still the problem of high peak demand
Today
Tomorrow
Yesterday
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Changing environment
Macrolevel trends

• Green regulation green initiatives

• Evolving servertechnology

• Rising electricity costs limited supply

• Increasingly dynamic power and heat loads
• Decreasing over-provisioning (cooling)
• Growing use of virtualization (CPU)
• Power save features in CPUs

Data centerevolution

• Blade other high density devices
• Adds / Moves / Changes

• Rising operational challenges
• Smaller margins for error / less time to react
• Greater risk of unanticipated capacity failure
• Current tools not designed to manage dynamic
  environment

Impact
Need
New tools for greater visibility, early warning,
historical analysis
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Modius approach
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• Comprehensivemonitoring foravailability
  capacitymanagement
• Automated keymetrics, includingPUE CADE
• Complete dataresource fordecision support -
  Validate hunches

All Devices All Protocols
Data collection engine
Business logic platform

• Multi-protocol
• Vendor neutral
• Low cost to install(no device drivers)

• Easy access / standard SQL support for BI tools
• Granular collection
• Current and historical data
• Network / firewall friendly
• Highly scalable
• High availability

• Sophisticated alarming
• Complex metrics
• Customized to business needs

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Comprehensive data collection
Modbus SNMP Mitsubishi
ASCII
Bacnet ASCII
SNMP
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Partial Device list

• Advantech
• APC
• ASCO
• Best Power
• Bitronics
• B-Tech
• Caterpillar
• Cutler-Hammer
• Cummins-Onan
• Cyberex
• Dell
• Dent
• EDPAC
• Electro Industries
• GE
• Generac
• IT Watchdogs
• Kohler
• Koyo

• MGE
• Mitsubishi
• Omega
• PDI
• Pentadyne
• PMI
• Poseidon
• Powerware
• Russ Electric
• Rittal
• Sensicast
• Servertech
• Siemens
• Square D
• Stulz
• Sun
• Toshiba
• TRS
• Unisoft

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Create own screens

• Notes
• User can upload different graphics types
• Good to provide overview of system health

Roll-over alarms
Multi-site
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Create own drill downs
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Create own reports
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Sybase actual PUE
1.48
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Business logic for metrics and alarms

• Computed Points
• Synthetic data
• Complex calculations involving multiple native
  points
• Key Metrics
• PUE, CADE, etc
• UPS headroom
• High impact alarms based on aggregate thresholds
• Utility Power Lost and Generator Unavailable

Cooling System
?T
COP
Flow Meter
Transducer
CRAC
RTD
On
F
Tr
Ts
P
Native Point
Computed point
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Enterprise Ready
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Summary

• Multi-device
• Intrinsically multi-protocol and vendor neutral
• Protocol drivers, not device drivers
• Easy low-cost installation for all devices
• Open data access
• Provide easy access to data via standard BI tools
• Support for business logic
• Sophisticated alarming
• More meaningful alarmsfewer low grade
  notifications
• Robust metrics
• Enterprise ready
• Network / firewall friendly
• Highly scalable
• High availability

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