Session DB 3.4. Micro Cloud the modular DC path to IoT. Micro Cloud & Modular DCs for IoT. Session Description: 3/10/2016

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Session DB 3.4

Micro Cloud

the modular DC path to IoT

James Young,

Global Segment lead, Enterprise Data Centers

Micro Cloud & Modular DCs for IoT

Session Description:

Expanding or building a new data center comes with inherent risks. Performance, time to build, cost, over-builds and scalability can derail even the best-laid plans. This session will address a different approach for unique, purpose-built technical facilities suited for edge computing, broadband and wireless access networks. A Data Center on Demand (DCoD) approach supports legacy environments and equipment but facilitates extremely high energy efficiencies. This session will present the building blocks approach and the design process that yields power densities from 3-35kW per rack, availability and redundancy considerations, as well as environmental assessment and operational PUE modeling.

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Capacity = (Never enough)

Mobility

Social

Media

Cloud

Big

Data

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Why

an

With Cloud and CoLo on the rise

-Data

Center?

Edge

Increasing Capacity

“The Triangle of Truth”

• Tx over air, copper or fiber.

• Factors for possible improvement relative

to the centralized architecture deployed today.

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Latency

- While the cloud is distributed it is not truly local

- Latency is already a major issue for content providers

- Hops, congestion and distance = higher RTT

*

Maximum throughput (b/s) = TCP window size (bits)/RT latency (s) 20ms = >25 Mb/s which will support 4k video for example

• It’s also plainly cheaper to move content closer to the consumer

• Lower latency enables next generation applications

* Round‐trip time

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Edge Data Center already make sense

A copy of Psy’s Gangnam Style video was stored in a carrier hotel in Los Angeles

Cox was paying tens of millions of dollars to support the traffic required to serve its subscribers in Phoenix (a tier 2 city) who watched that video1

Moving to an edge data center and caching the video saved Cox some money.

Gangnam Style ++ for viewers and – for content providers!

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What will edge DCs serve?

Intelligent

Buildings

IoT data process control

Latency and WAN costs!

Regional

Connectivity

Local business hubs

Markets too small for the “Big Guys”

Transport hub (vs Peering)

Cloud

Extend Access to local business

Content Delivery

Carriers

– C

‐

RAN

Traffic 66X – 5yrs

C‐ran limits latency 5μs (20‐40Km)

Distributed Requirements

Points of Presence

PoPs OnSolution Site Cloud HostingCenter Data

Mobile Switch Sites

(MTX)

DAS Head End

CATV Head End

Industrial Data Processing Computer Rooms Telecom Equipment Room Internal IT Data Center Transmission Hubs

Deliver

a

Reliable,

Flexible,

and

Efficient

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Not just Streaming

• High def Video processing

from IoT devices

• Centralized resources

reduce cost/complexity for

IoT devices

• Many bi-directional unicast

streams (Mobile Devices)

• China Mobile - C-RAN

framework is limited to

20-40KM

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What Next?

Bell Laboratories, Future X Network

• High

Frequency

Trading

.24ms

• VR

Gaming

– 7ms

• Cloud

assisted

Driving

– 10ms

• Augmented

Reality

– 10ms

• 4K

click

‐

to

‐

start

Video

– 10

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What is an Edge DC?

2015 2016 2017 2018 2019 2020 Macro DC Market 1.7 2.2 2.9 3.7 4.8 6.3 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 In Billion Dollar s

Global Micro Data Center Market

Data Source http://www.marketsandmarkets.com/Market‐Reports/micro‐datacenters‐market‐828.html

Very limited information for edge data center definitions and market size

Micro DCs can be used for edge DCs but edge data centers don’t have to be micro

Clearly seems to be a growth area however

Micro DC Market

Key Market Drivers

End user

satisfaction in

tier‐2, 3 cities 1

Content providers continue improving customer experience by moving content closer to

eyeballs while saving costs

• Caching content locally in a metro with a population of about 1 million can save about

$110m in backbone transport costs over 5 years1

• 62% of all Internet traffic will cross content delivery networks (CDNs) in 2019, up from

39% in 20142

Mobile data

exploding 2

Data moving to the edge

• Global mobile data traffic will grow 10‐fold from 2014 to 2019, a CAGR of 57%2

• Global Mobile was 4% of total IP traffic in 2014, and will be 14% of total IP traffic in 20192

• China's tier 2 and 3 cities’ mobile internet growth speed surpassed tier one cities for the

first time in 20133

IoT edge device

proliferation 3

Data generated from IoT devices must be processed in real time to preserve the

value of the information

• IoT connected devices will grow to 30B units in 2020 from 5.4B units in 20143

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Edge Data Centers -> Modular

A

Highly

Efficient

host

edge

equipment

Availability

targets

Operation

costs

TECHNOLOGY

SPACE

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CAPACITY

Right‐sized & fit for purpose

COST

CapEx, PUE and OpEx

CALENDAR

Weeks?

Modular Edge facilities

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• Standardised design and construction

• Time to Value/Alignment of CAPEX and Income

• Lower Architect, Mechanical, Electrical Consultant costs.

Modular Purpose-Built Data Centers

CAPEX

OPEX

Agility/ Flexibility

• Lowest energy cost

• Robust highly available designs

• Build what, where and when required

• Power density and rack capacity

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Modular DC Technology

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21 Product Cold Aisle Temp Cold Aisle RH CommScop e LxS‐16016 QAM Chassis (~ A4) 0C – 45C 5% ‐95% Cisco 9000 Nexus Switch (~ A3) 0C – 40C 5% ‐95% IBM Lenovo BladeCenter H Server (~ A2) 10C – 35C 8% ‐80% EMC VNX Storage (~ RE/A2, A3) 18C – 27C (10C – 35C permitted, 5C – 40C if <10% annual) 5.5C DP ‐60% RH & 15C DP (20% ‐80% permitted, 8% ‐85% if <10% annual)

Technical Performance > Internal Cold Aisle

Technical Performance > Weather

Analysis (anywhere?)

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ASHRAE A1 (Annual)

pPUE 1.056

Water 78.5 m^3/year

Chiller hours 245

ASHRAE Recommended (Annual)

pPUE 1.489

Water 22.1 m^3/year

Chiller hours 7250

Technical Performance > Weather Analysis

(Yangon)

ASHRAE A2 (Annual) pPUE 1.06 Water 0.5 m^3/year Chiller hours 2 24

Edge Data

Center

Objectives

Serve 50% of the broadband eyeballs locally “Move the edge” of the Internet

<20ms latency ‐location matched to business requirements

Availability matching business needs

Indoor or Outdoor deployment

COST EFFECTIVE due to scale Quick and Easy to deploy/scale

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Edge Data

Center

attributes

Remote manageability, light out capability

Fixtures for 24x7x365 video surveillance (inside and outside)

Fire detection and suppression features

Biometric and card key authentication for entry

Tier 1‐3, N+1 data centers? redundant power and links?

3‐15kW average per rack?

6kW micro to 30kW, 100kW?

Various sizes 1 – 10 – 100 racks?

Must adapt to a broad set of business needs but…

Repeatedly deployed –availability matching the need

20 Racks and 700kW per Unit CRAN 4 + 4 + 4 Rack Units, 35kW per Rack Regional example 30 racks and 350kW

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27 DCU‐02 LP 6kW or 10kW 6’ L x 6’ W x 8’ 4” H DCU‐03 LP 6kW or 10kW 8’ L x 6’ W x 8’ 4” H DCU‐01 LP 6kW or 10kW 4’ L x 4’ W x 8’ 4” H