managing the impact and cost of the iot data explosion - data centre converged london 2015

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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

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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

An Internet Minute in 2014

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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Connectivity

Network

Storage

Compute

VM

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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

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Implementation and Support

Professional Services

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Rack Power & Env.

Connectivity

Network

Storage

Compute

VM

OS

DB

Apps

Case Study

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

Legacy Computer Rooms - Quincy WA.

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

Project Objectives

Partner with Facilities Management

Save Energy

Recover Cooling Capacity

Problem

Transitional Floor Space Make Expensive Containment Options Difficult

CRAH Evaporative Media Had Become Calcified and was Greatly Restricting Airflow

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

Solution

CRAH Optimization - Remove Calcified Media

CRAH Optimization - Remove Calcified Media

CRAH Optimization - High Efficiency Filters to Improve Airflow

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

Things that get measured get managed…..

Automation – Pressure & TemperatureControl that manages what matters most – server inlet temperature!

Results

Floor Pressure Change Pre Optimization

Differential Pressure Post Optimization

Temperature Control

CRAH Fan Speed Post Optimization

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

Thank You