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Managing the Impact and Cost of
the IOT Data Explosion
Michael Adams, EMEA Director Integrated Datacenter
Troy Mitchell, NA Director Integrated Datacenter
Major impacts are expected!
• The volume of data is anticipated to explode exponentially; from 4.4ZB in 2013 tenfold to 44ZB in 2020
• In 2013 that’s a stack of iPads halfway to the moon, by 2020 there would be 6.6 stacks from Earth to the Moon
• Data from embedded systems, which are a major component of the Internet of Things, will grow from 2% of the digital universe in 2013 to 10% in 2020.
• In 2013 less than 20% of data in the digital universe is “touched” by the cloud – either stored or processed. That percentage could double by 2020
• Today, the amount of globally available storage capacity (i.e., unused bytes) across all media types is growing slower than the digital universe.
An Explosion of Data and Value by 2020!
152m cars Internet Connected
IHS Automotive
$19 Trillion Economic Value
Created by the Internet of Everything
according Cisco – the largest growth in the
history of humankind
21B Connected "Things”
in use by 2020, says Gartner
40.9B Active Wireless Connected Devices
According to ABI Research
1.1B Smart Meters
Growth from 313m in 2013 to 2022
according to Navigant Research
Consumer Electronics M2M
Connections to top 7B in 2023 according to
Machina Research
100m Wireless Lightbulbs
Connected to the Internet worldwide
say OnWorld.com
6.1B Smartphone Users
Says Ericsson
120m pieces of
Internet-connected
clothing
$21.9B market for RFID
Statistica 2015
44ZB
The size of the digital
universe by 2020
These impacts demand transformation in the data centre
• In the way that we manage latency
• The bottleneck is now inside the facility
• Colos need a minimum of 40GB/sec to meet customer requirements
• In the way that we manage the cost of data centre operations
• Opex is around 3 – 5x capex cost over facility lifetime
• Cooling is the biggest energy cost
• Legacy cooling systems lack intelligence or manageability, containment can be expensive and inflexible
The Integrated Data CentreD
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Building
MEP
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Rack Power & Env.
Connectivity
Network
Storage
Compute
VM
OS
DB
Apps
The Panduit Integrated Data Centre Infrastructure
DCIM Cooling
OptimizationDCIM Power
ManagementDCIM Asset &
Connectivity
Copper
Connectivity
Fiber
Connectivity
Physical
Accessories
Cabling Mgmt. &
Pathways
Network and
Server CabinetsPre-Configured
Cabinets
PODs and Thermal
ContainmentRack Power
Distribution
De
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Op
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Implementation and Support
Professional Services
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Building
MEP
Cabinets
Rack Power & Env.
Connectivity
Network
Storage
Compute
VM
OS
DB
Apps
O p t i m i z i n g A i r f l o w a n d R e d u c i n g E n e r g y i n L e g a c y D a t a C e n t e r s
B r e t t I l l e r s C E M
P r e s e n t e d b y T r o y M i t c h e l l
Old Dog New Tricks
Current Notable Designs
Yahoo Computing Coop (YCC)
• 100% Adiabatic Design• PUE 1.08 – 1.12
Yahoo Thermal Cooling (YTC)
• No Fan Design • PUE 1.28 - 1.35
Computer Rooms Overview
• 3 Computer Rooms• Traditional Raised Floor Design
• 2MW Each
• PUE 1.39 – 1.5
• 9 CRAH units each room• 60hp each (2 x 30hp)
• VFD equipped
• Cooling Coil (served by water cooled central plant)
• Evaporative Media
• Outside Air Economizer
CRAH Filter Media
• Older pleat filters restricted airflow and did not provide enough filter effect for dusty conditions at GQ
• Effect the ability to reduce CRAH airflow due to filter loading
• Reduce the ability to bring in outside air during dusty times of the year due to agriculture dust
Limited Information for Decision Making
• BMS monitoring was limited; not granular• Lacked visibility to changing room conditions
• CRAH control was local to the unit and not optimal• Cooling system designed for “room” control
Install Synapsense System to Actively Monitor and Control Temperature and Floor Pressure
Integrated Synapsense Solution
• 900 EZ temperature nodes
• 60 Pressure nodes
• 27 Supply and return sensors
• Removed Approximately 430 high flow floor tiles
SynapSense is now part of Panduit SmartZone™ Solutions
Automation – Pressure & TemperatureControl that manages what matters most – server inlet temperature!
Results – Operational Improvements
• Reduced and Optimized Floor Pressure
• Reduced fan speed for maximum savings• 15% to 75%
• Increase temperature in rooms• Inlet temperatures increased by 2 degrees
• Increased outside air economization
• Real time heat mapping of Data Halls• Reduced hot spots
• Strategic repopulation
• 7.5M kWh saved annually
• Estimated PUE 1.28
$/kWh Annual Savings
$.04 300K USD 197 GBP
$.08 600K USD 394 GBP
$.16 1.2M USD 789 GBP