SIX Trends in our World… Data Center Infrastructure for … · Data Center Infrastructure Management (DCIM) systems collect and manage data about a data center’s assets, resource

9/30/2014

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Schneider Electric – IT Business – Your Name – DateSchneider Electric – IT Business – Bernard Tan – 14th September 2011

TuanAnh Nguyen,

Solution Engineer Manager, Vietnam

Schneider Electric ITB Vietnam

TMStruxureWarefor data centers

Data Center Infrastructure for

Cloud and Energy Efficiency

Schneider Electric – IT Business – Your Name – Date

SIX Trends in our World…Connectivity Simplicity

Globalization

Emerging

Markets

Demand

For Energy

Security

9/30/2014

2


Growth of Smart devices will lead to an

explosion in server workloads


The energy dilemma is here to stay

CO2 emissionsto avoid dramatic

climate changes

by 2050

Environment

Source: IPCC 2007, figure

(vs. 1990 level)

Frequent

power outages

Rising

energy pricesClimate change

Conflicts for

resource access

& control

Structural costPeak demand

Energy demandBy 2050

Electricity by 2030

Source: IEA 2007

Continued

Consumption

Over the past 12

years (France)

Expensive, under

utilised peak

capacity

Of trade deficits are linked to fossil

fuels and are

increasing

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3


Double-edged squeeze

The

PLANET

Reduce carbon footprint !

The

BUSINESS

More computing per watt !


The New Decade – Into the Cloud

● Datacenters are no longer a collection

of disparate storage

devices, communications equipment

& servers

● Hardware & software resources

working to deliver unparalleled levels

of efficiency, availability &

performance

● Holistic approach to design &

deployment

The datacenter is the computer

Digital data

will grow

44 times

by 2020

http://www.synnex.com/apc/images/isx_mainimage.jpg

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Cloud Computing model emphasizes 5

key characteristics

● SERVICE BASED : A service-oriented technology

● RAPID ELASTICITY AND SCALABILITY : Services scale on-demand

to add or remove resources as needed

● SHARED RESOURCES : Services share a pool of resources to build

economies of scale

● PAY PER USE : Services are tracked with usage metrics to enable the

“pay-as-you-go model”

● UBIQUITOUS NETWORK ACCESS : Services are delivered through

use of Web identifiers, standards, formats and protocols and with an

identical access


Benefits from the Cloud

●CaPex reduction : Allows greater optimization & utilization of IT assets, doing more with less & achieve significant cost reduction by adopting the required capacity instead of building for maximum capacity.

●OpEx reduction : Billing to the enterprise on a pay-per-use basis. Through automation, it reduces the amount of time & effort needed to provision & scale IT resources.

● Simplification : Allows simplification of the IT infrastructure resources to fewer standardized products, technologies & platforms. This reduces operational complexity & promotes operational consistency.

● Flexibility : Provides flexibility in the way to source, deliver & consume the IT services needed to build business capabilities.

● Agility : Compress the time needed to provision & deploy new apps & services from months to minutes. This increased agility brings new capabilities to market sooner, creating a potential competitive advantage.

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The new landscape of the cloud computing

● Highly fragmented market

● High focus on monitoring & management of

the DC (which contributes to cost savings

efforts, datacenter design decisions, risk

management, Cloud categorization, virtualization

consolidation projects)

● Fierce competition to monitor & manage

Energy in customer’s DC Schneider Electric – IT Business – Your Name – Date

Service Providers will lead in the Emergence

of the “Enterprise-Cloud” datacenter

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Schneider Electric – IT Business – Your Name – Date 11

$0

$25,000

$50,000

$75,000

$100,000

$125,000

$150,000

$175,000

$200,000

'96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12

WW Spending on Servers, Power and Cooling, and Management/Administration

Installed BaseSpending ($M)

Power & Cooling

Mgmt & Administration

New Server Spending

0

5,000,000

10,000,000

15,000,000

20,000,000

25,000,000

30,000,000

35,000,000

40,000,000

45,000,000

Source = April 2009 Computing Infrastructure Trends: IDC

Power & Cooling Market continues to expand


On the vendor side: the future shaped

●Maturity of the market + Maturity of technologies + Maturity of customers understanding challenges & Operational/Business impacts of the DC

The market will migrate intensively to the Cloud

• Because it allows Density optimization

• Because it does increase the DC efficiency

●Power & Cooling concerns will change from being a one-time Capital expense decision to being an ongoing, operating expense decision.

●Large scale environments will require new designs to answer power, cooling & density challenges

DC Efficiency = THE expertise for Hosting & Service providers to respond to customer needs

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Schneider - The convergence of 5 key domains

Products Enterprise levelSupervisionControlServicesDomain

NetworkCloud

Power

Management

White Space

Management

Process

& Machine

Management

Building

Management

Security

Management

Towards

A new

generation of

Datacenters

perfectly

Orchestrated

with ALL the

other Elements


To take advantage of the Cloud Business Model

Data Center have to be designed for…

DENSE+

+ EFFICIENT

FLEXIBLE+

PAY AS YOU

GROW

AUTOMATED+

LEAN

DATACENTER

Excellence in service operation

Decrease CapEX AND OpEX,

for better energy efficiency & reliability

+ STANDARDIZATION

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Virtualization Challenges

Virtualization’s lean, smart computing

calls for lean, smart power and cooling

EXAMPLE


4 servers

Before virtualization

2 servers

After 2:1 virtualization

Fixed loss

GONE

Fixed loss

GONE

Virtualisation

Unplugging servers removes THEIR fixed lossesBUT… what about power and cooling fixed losses?

X X2 of 4 serversunplugged

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The whole efficiency picture

BEFOREserver

consolidation

In

frastruc

tu

re

ITIT

watts

Watts

IN

Watts

IN

Useful

computing

Watts

IN

Watts

IN

“Useful computing” per data center watt

OVERALLefficiency

ITefficiency

IT

watts

“Useful computing” per IT watt

IT

watts

Watts

IN

Watts

IN

PHYSICAL INFRASTRUCTURE

efficiency

PUE

Assuming server consolidation

with same “useful computing”

PUE

Overall

IT

IT

watts

Watts

IN

Watts

IN

Much worse

AFTERserver

consolidation

In

frastruc

tu

re

ITIT

watts

Watts

IN

Watts

IN

Watts

IN

Watts

IN

A little better

IT

watts

Much betterA little less Much

less(No

change)Power/cooling

FIXED losses

prevent greater gain here

IT

watts

Watts

IN

Watts

IN

Much better(can approach BEFORE level)

PLUSpower/cooling

optimization

(No

change)

In

frastruc

tu

re

ITIT

watts

Watts

IN

Watts

IN

(No change)

MUCH less

Watts

IN

Watts

IN

Much betterthan BEFORE

IT

watts

(No further change)

Topical VIRTUALIZATION Rev 1 Schneider Electric – IT Business – Your Name – Date

Virtualization is HERE! – Highly Dynamic

1 KW

3 KW 7 KW

20 KW3 KW

3 KW

10 KW

Ratio of 1 to 20 KW per Rack

Vs

1 to 2 KW earlier

And

Moving…

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The Newest Challenge: EFFICIENCY

Provide power and cooling in the amount needed, when

needed, and where needed – but no more than what is

required for redundancy and safety margins

But we can’t manage what we can’t measure

Efficiency target:

Schneider Electric – IT Business – Your Name – DateSchneider Electric – IT Business – Bernard Tan – 14th September 2011

Intelligent Energy:Enabling the architectural integration

of data, power, security, cooling and

automation in the Digital World

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Schneider Electric 21

Data Center Infrastructure Management (DCIM) systems collect and manage data

about a data center’s assets, resource use and operational status throughout the

data center lifecycle.

This information is then distributed, integrated, analyzed and

applied in ways that help managers meet business and service-oriented goals and optimize the data center’s performance

Physical

•Power system

•Cooling system

•IT Assets & space

•Physical Security

•Integrations

Functional

•Monitoring & alarming

•Automation & control

•Modelling & simulation

•Software services

•Integrations

Lifecycle

•Analyze

•Design

•Implement

•Operate

•Evaluate

– DCIM – The Definition


DCIM Adoption Drivers

1

23

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Solving The Customer DilemmaA

gil

ity

Time to market

Time to deploy

Asset integrity

High availability

Service Level Agreement

Solution quality

Data Center Efficiency

Reduced Opex

Reduced Capex

Total Cost of Ownership

Operational costs

Investments

High Reliability

Human error reduction

Risk mitigation


AgilityGain In-depth Visibility into resource utilization within the DC

Ability to support new business requirement in a shorter time frame

Consideration Factors

Cooling Network Space + WeightCapacity Group Power

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Solving The Customer DilemmaA

gil

ity

Time to market

Time to deploy

Asset integrity

High availability

Service Level Agreement

Solution quality

Data Center Efficiency

Reduced Opex

Reduced Capex

Total Cost of Ownership

Operational costs

Investments

High Reliability

Human error reduction

Risk mitigation


Constant Monitoring

Receive Notification if fault appears

Investigate reason for break-down via Trip Log and Trip History

Summary

alarm for Main

Switchboard A.

Breaker trip. Why?

Main Switchboard A

OpenYes

Yes

Power Monitoring Expert

Phase A Overcurrent, Long Time Pickup

Detailed engineering

data for

troubleshooting

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Constant Monitoring

Receive Notification if warning thresholds are exceeded

Identify location of impacted systems

Determine the level of impact the alarm has to the environment

Increase in

Temperature

detected in the

data center

1

2 3


Deploy in-depth PUE and energy efficiency analysis to

identify the most profitable energy optimizing initiatives

Sub System EnergyAnalyze sub-system energy usage for

an in-depth understanding of where

energy is spent

Historical PUEAnalyze historical PUE within the data

center to determine the health of the

data center

Energy ManagementOffers full insight into current and

historical energy efficiencies for

facilities, identifying energy losses and

enabling improved PUE values.

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Deep understanding on existing organization’s energy consumption

Identify and remove underutilize server to reduce energy wastage

Identify systems that consumes the most energy within the data center

ASHRAE established new recommended temperature ranges at the inlet of the server. However many data centers set

their temperatures as low as 15°C when the recommended range is 65°F to 80°F (27°C). Data Centers can save up to 4%

of energy cost for every 1°C increase in server inlet.


Increase Temp by 2 celsius




Before After

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Instead of investing in new hardware, reclaim systems that are not utilized

Extend the life of a data centre by removing stranded capacitiesCapital

Base on industry studies, 15% to 30% of servers in a data center are underutilized. These comatose equipments are consuming energy without doing any computing.

A global financial organization, removed 5,515 obsolete servers in 2012, with power savings of around three megawatts, and $3.4 million annualized savings for power, and a further $800K savings in hardware maintenance




1

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2

Stranded Capacities

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The capability to limit the power consumption of a server, to some

threshold that is less than or equal to the system’s maximum rated power



Real-time monitoring with

power budget enforcement

•Actual measurements indicates

power/server rarely exceeds 250

watts

•Use 250 watts as aggressive

power/server budget

•Enforce 4,000 watts global cap for

rare cases where demand would

exceed 4,000 watts

•Install 4,000 watts/250 watts per

server = 16 servers

•Payoff: increase rack loading by

60 percent

AfterBefore

Provision rack with 4KW available power

Traditional method:

Static provisioning

•650 watts power supply rating

•Use 400 watts as safe bet from lab

measurements for expected

configuration

•Install 4,000 watts/400 watts per

server = 10 servers


Enable Simulation of impacted power and cooling systems

Mitigate potential risk by running what-if scenarios

Risk mitigationRisk

1

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Enable Simulation of impacted power and cooling systems

Mitigate potential risk by running what-if scenarios

Risk mitigationRisk

2

Before After

The different layers (all) in our Ecosystem

Virtualized (cloud) operating systemVMware/ Microsoft

Unified network and computingCisco

Virtual information infrastructureEMC/Netapp

integrated connectivity

integrated management

integrated functionality

integrated security

integrated services and solutionsenterprisedatacenters

compatibleservice providers

Virtualized DatacenterAPC

integrated DC physical infrastructure

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TuanAnh NguyenSolution Engineer Manager, ITB Vietnam

8th Floor, Vinaconex Building, 34 LangHa St., DongDa Dist., HaNoi, VietNamMobile: +84 982 653 [email protected]

“According to IDC analysis and buyer perception, Schneider Electric is an IDC MarketScape Leader worldwide.”

IDC MarketScape: Worldwide Datacenter Infrastructure Management 2013 Vendor Analysis,Jennifer Koppy, June 2013

mailto:[email protected]
















http://www.schneider-electric.com/




Documents

SIX Trends in our World… Data Center Infrastructure for … · Data Center Infrastructure Management (DCIM) systems collect and manage data about a data center’s assets, resource