data center consolidation plan

8/9/2019 Data Center Consolidation Plan

1/39

Data Center Consolidation

Initiative

Agency Consolidation Plan Template


2/39

Data Center Consolidation Initiative

Contents

1 Introduction................................................................................................3

2 Program Goals and Obectives...................................................................!

2.1 Program Goals....................................................................................!

2.2 Data Center Consolidation "##roac$..................................................%

2.3 Four &ey Im#act "reas........................................................................'

2.! (trategic Obectives and )actical O##ortunities.................................'

2.% Government*+ide Data Center Consolidation )ime )able...................

3 "gency Consolidation Plan )em#late.......................................................10

3.1 Primary Focus "reas, Consolidation "##roac$es and Constraints... .103.2 "gency Consolidation Plan - tili/ation Im#rovement etrics.........12

3.3 "gency Consolidation Plan - Proected (avings etrics...................1!

! Data Center Consolidation P$ases...........................................................1'

!.1 P$ase 1 - I) "sset Inventory aseline uic4 5ins........................1'

!.1.1 Preliminary I) "sset Inventory "ssessment uic4 5ins.............1

!.1.2 I) (o6t+are "ssets and tili/ation )em#late Obectives.............20

! 1 3 I) 7 d " t d tili ti ) l t Ob ti 23


3/39


)$e Federal Data Center Consolidation initiative is targeted to reduce t$eoverall cost o6 data center o#erations and energy consum#tion by Federal

"gencies. Currently, t$ere are over 1,100 data centers in use across t$e

6ederal government +it$ little reuse or s$aring o6 resources +it$in or across

"gencies. In addition, data centers consume a gro+ing #ortion o6 t$e

>ation@s energyAelectricity su##ly due to gro+ing demand 6or t$e services

t$ey #rovide. Data centers used about '1 billion 45$ o6 electricity in 200',

re#resenting 1.%B o6 all .(. electricity consum#tion and double t$e amount

consumed in 2000. It is #roected t$at data center usage +ill e=ceed 100

billion 45$ by 2011, or 2.%B o6 total .(. electricity consum#tion. )$is very

e=tensive and continuously gro+ing consum#tion o6 energy by data centers

in t$e ( em#$asi/es t$e very real need to ac$ieve signicant im#rovements

in eciency o6 Federal data center o#erations.

)$is initiative is based on t$e O ndings 6rom udget Data :eEuest D:

>o. 0


4/39


)ier IH com#osed o6 a single #at$ 6or #o+er and cooling distribution,+it$out redundant com#onents, #roviding


5/39


Po+er sage A (Euare Foot

Po+er sage 8ciency P8

aintain cross*agency goals 6or $ig$ly available, scalable, and

redundant data center in6rastructure t$at +ill substantially reduce t$e

Government@s ris4 and #rovide 6or 6uture I) gro+t$.

2.2 Data Center Consolidation Approac

)$e Data Center Consolidation initiative is bro4en do+n into ' 4ey #$ases and

is designed to rst assess and inventory t$e current agency environment and

t$en establis$ a #lan 6or ac$ieving signicant reductions in data center build

t$roug$ t$e use o6 server virtuali/ation and Cloud Com#uting tec$nologies.

"dditionally, t$is initiative aims to reduce overall energy consum#tion by data

centers across t$e Federal Government, +$ile reducing t$e #$ysical real

estate and ot$er 4ey costs drivers associated +it$ data centers. )$e Data

Center Consolidation Initiative consists o6 t$e 6ollo+ing #$asesH

P$ase 1 - I) "sset Inventory aseline incl. Preliminary "ssessment

uic4 5ins

P$ase 2 - "##lication a##ing

P$ase 3 - "nalysis (trategic Decisions

P$ase ! - Consolidation Design )ransition Plan

P$ase % - Consolidation O#timi/ation 8=ecution

P$ase ' - Ongoing O#timi/ation (u##ort


6/39


)$e si= #$ases and related data collection tem#lates are discussed in detail

in Section 4 Data Center Consolidation Phases.

2.! "our #ey Impact Areas

)$ere are 6our distinct areas aecting data center o#timi/ation t$at need to

be considered in #arallel ty#ically by dierent teams * uilding Facilities, I)

Facilities, I) O#erations, I) Develo#mentH

Geograpic $ocation and %eal &state "ssess disasterAcost ris4


7/39


2. ,trategic Objectives and Tactical Opportunities

)$e #rimary goal o6 t$e Data Center Consolidation Initiative is to im#rove t$e

Federal Government@s data center eciencies and ca#abilities +$ile reducing

costs. )$e related strategic obectives are summari/ed belo+H


8/39


9/39


y !A30A2010 - "gencies s$all #artner +it$ O to develo# "gency*

+ide Data Center Consolidation PlansL y 'A30A2010 - O +ill #rovide a##roved data center consolidation

#lans to all "gencies, +$ic$ t$ey need to integrate in t$eir F?2012

budget submissions.

)$e timeline belo+ #rovides t$e $ig$*level guideline t$at "gencies must

6ollo+ 6or develo#ing "gency*s#ecic Data Center Consolidation Plans. It

includes 4ey Data Center Consolidation activities to be #er6ormed by t$e

"gencies and t$e su##ort #rovided by O and t$e PO team during eac$ o6

t$e critical #$ases.

Agency4driven Activities

Identi6y and em#o+er res#onsible #artiesAocesAsta #ositions to lead

t$e #roect teams, secure resources, re#ort #rogress

8stablis$ Data Center aseline by Conducting 7ard+are and (o6t+are

Inventory Develo# "gency Data Center Consolidation Plan and (c$edule

a#, "naly/e (ystems and a4e (trategic 9ong*term Investment

Decisions

Design, Im#lement and )est "gency*s#ecic Consolidation (olutions

8=ecute t$e "gency Data Center Consolidation Plan

O04driven Activities Identi6y (trategic Goals Dene Government*+ide etrics and )arget

Obectives

Collect "gency Data Derive Criteria and "nalytics 6or tili/ation


10/39


FO: OFFICI"9 (8 O>9? Page 10


11/39


! Agency Consolidation Plan Template

!.1 Primary "ocus Areas5 Consolidation Approaces and

Constraints

&ey "actors5 etrics and Objectives+ill be dened 6or eac$ o6 t$e 6our

6ocus areas described in section 2.3 and corres#onding Consolidation Plan

)em#lates +ill be s#ecied t$at +ould be com#leted ty#ically by dierentteams +it$in an agency i.e. uilding Facilities 6or location A6acility details,

including in6ormation on +$et$er t$e asset is leased or o+nedL I) Facilities 6or

Moor s#ace, rac4 utili/ation, #o+er, cooling, cable #lantL I) O#erations 6or

server, storage, net+or4 utili/ationL and I) Develo#ment 6or

"##lication #ort6olio ma##ing and #rioriti/ation.

)$e 4ey 6or t$ese detailed metrics is t$eir relevance 6or Data CenterConsolidation and 8nergy Cost :eduction, e.g.H

:ental cost #er sE. 6t. based on t$e Gross Floor "rea only +ould be amore in6ormative 9ocation A :eal 8state metric t$an )otal O#erationsCostL

Floor (#ace and :ac4 (#ace utili/ation ta4ing into account #o+er andcooling constraints in addition to CP utili/ation +ould #rovide better

visibility into actual data center utili/ationL " #rioriti/ed (5 #ort6olio, su##orted by a data center, +ould #rovide

insig$ts into availability, security, #er6ormance reEuirements and#otential 6or virtuali/ation and server consolidation.


12/39


13/39


O#timi/e energyAcooling utili/ation via eEui#ment location ro+Arac4cooling, im#lementing various Density Nones * $ig$, medium, lo+ at

dierent tiers +it$in e=isting data centers, etc.L

Conduct virtuali/ation and server consolidation analysis, design,#rioriti/ation and migrationL

Im#lement and manage on an on*going basis a##lication tiercategori/ation and alignment i.e. run $ig$*availability a##s only in a$ig$ tier data center or /oneA#od and t$e remaining a##s in a lo+ tierdata centerA/oneA#od.

Consider migration to Cloud Com#uting solutions, +$en a##ro#riatesecurity and o#erational reEuirements are met. (uc$ migration tostandard vendor su##orted enter#rise #lat6orms or services in t$ecloud i.e. In6rastructure, Plat6orm or (o6t+are as a (ervice can reduceo#erational ris4 +$ile lo+ering bot$ t$e )otal Cost o6 O+ners$i# )COand )otal Cost o6 (ervice Delivery )C(D.


14/39


6rom Jirtuali/ation and (erver A :ac4 (#ace tili/ation to Po+er sage

8ciency.

)$e )y#ical and )arget :esults listed in t$e table belo+ re#resent broad

industry ndings and s$all serve as overall utili/ation benc$mar4 guidance to

t$e "gencies. )$e actual "gency tili/ation etrics +ill be lled*out by t$e

"gencies via t$eir "sset Inventory aseline analysis, as described in detail in

section !.1.

Improving IT e8uipment utili+ation is te 9ey driver -or reducingenergy consumption per unit o- per-ormance. Tis can be acieved

primarily by6

(erver Jirtuali/ation increasing t$e number o6 virtual servers #er

$osts

(erver Consolidation decommissioning underutili/ed #$ysical servers

:ac4 (#ace Consolidation reallocating underutili/ed rac4s

Data Center Facilities Consolidation s$utting do+n underutili/ed

6acilities

)$e table belo+ oers standardi/ed average utili/ation metrics to su##ort

Data Center Consolidation decision ma4ing. (uc$ metrics +ill $el# also

identi6y e=isting 6acilities constraints s#ace, #o+er, cooling and augment

t$e aggregate usage metrics introduced in Section 4.1. IT Asset Inventory

Baseline. In #articular t$e "verage Po+er sage 8Euivalent metric is basedon t$e standard industry assum#tion o6 2% sE. 6t. #er rac4, and constitutes a

normali/ed metric 6or eEuivalent Po+er sage #er (Euare Foot. It is used also

in t$e I) Facilities )em#late and it is dened in "##endi= "


15/39


#roections t$erea6ter. In recognition o6 +or4*in*#rogress virtuali/ation and

consolidation #roects t$at are already under+ay in F?10, agencies may use

F?10 baseline data collected at t$e beginning o6 suc$ initiatives.

)$e #rocess and data tem#lates 6or collecting t$e asset inventory baseline

are described in section Section 4.1. IT Asset Inventory Baseline. )$e

rst ste# in t$is #rocess is t$e collection o6 a Preliminary Inventory

Assessment, +$ic$ agencies must submit by "#ril 30, 2010, in line +it$ t$e

O Passbac4 Considerations 6or F?2011. )$e nalAsset Inventory

Baselinemust be submitted by agencies by


16/39


)$e "gency*level Proected (avings etrics are a collection o6 best industry

#ractices in ca#turing various dimensions o6 Data Center Cost (avings - 6rom

Data Center Count and Gross Floor "rea :eduction to :ac4 and (erver Count

:eduction and nally to 8nergy sage and Cost :eduction.

)$e Planned Program Cost savings by !2012 s$all be lled out by agencies

based on t$eir "sset Inventory aseline analysis, as described in detail in

section !.1.


17/39


>umber o6 (ervers, "ggregate Data Center 8nergy se and "ggregate Data

Center 8nergy Costs. "gencies need to #rovide also incremental annual

target #roections 6or t$e same metrics +it$ a nal target date o6 !12.

Data Center Consolidation Pases

" i t d d i S ti 2 2 D t C t C lid ti A h t$


18/39


5it$in t$e rst #$ase o6 t$e data consolidation initiative agencies +ill #er6orm

metrics gat$ering across 6our #rimary areas in order to derive a baseline

state o6 t$eir current data center environment. )$is baseline set o6

measurements +ill 6ocus on t$e 6ollo+ing 6our 4ey im#act areas, illustrated in

t$e table belo+H

I) (o6t+are "ssets and tili/ation

I) 7ard+are "ssets and tili/ation

I) Facilities and 8nergy se

Geogra#$ic 9ocation and :eal 8state


19/39


)$e diagram belo+ illustrates t$e 6our areas o6 6ocus and t$e associated data

center metric com#onentsH

"6ter t$e initial baseline data collection 6or all 6our tem#lates is com#leted,

agencies +ill conduct ongoing #eriodic annual data u#dates 6or all 6our

tem#lates and +ill use t$em as t$e 6oundation 6or com#leting t$e agency*


20/39



21/39


.1.2 IT ,o-t*are Assets and (tili+ation Template ' Objectives

)$e #ur#ose o6 t$e (o6t+are "ssets )em#late is to document all aor

(ystems as dened in O Circular "*11, Part ;, 8=$ibit 300 $osted in a

data center, t$eir 4ey elements e.g. #lat6orm, server, etc. and to evaluate

t$e 6easibility o6 t$eir consolidation via one o6 t$e 6our a##roac$es discussed

in section 3.1 Decommission, Consolidation, Jirtuali/ation or Cloud

Com#uting.

For consistency +it$ ongoing O re#orting activities by t$e "gencies, t$e


22/39




23/39


)$e s#ecic ): (ervice "rea used in t$is ma##ing is KService Plat(orm

and In(rastr)ct)re+, +$ic$ includes t$e 6ollo+ing ): (ervice CategoriesH

(u##ort Plat6orms e.g. 9inu=A288, 5indo+s (erver 200 A .>et etc.

(o6t+are 8ngineering e.g. Integrated Develo#ment 8nvironment - ID8,

etc.

Database A (torage e.g. :elational Data ase anagement (ystem -

:D(, etc.

Delivery (ervers e.g. "##lication (ervers, 5eb (ervers, etc.

7ard+are A In6rastructure e.g. 8nter#rise (ervers, ain6rames

"s described in t$e F8" Consolidated :e6erence odel, (ervice (tandards

dene t$e standards and tec$nologies t$at su##ort a (ervice Category and

many o6 t$e (ervice (tandards #rovide illustrative s#ecications or

tec$nologies as e=am#les. )$e actual (ervice (tandards #ertaining to t$e

K(ervice Plat6orm and In6rastructure@ (ervice "rea +it$ t$eir corres#onding

identiers Q'! - ;; and descri#tions can be 6ound in t$e F&A

Consolidated 'e(erence #odel mentioned earlier a re6erence +or4s$eet

is included also in t$e data collection 8=cel tem#late.

sing t$is F8"*based a##roac$, t$e (o6t+are "sset )em#late ca#tures all

critical tec$nical c$aracteristics 6or aor (ystems, starting 6rom (ervers and

O#erating (ystemsAPlat6orms t$roug$ so6t+are engineering and

databaseAstorage to delivery servers. )$e Pro#osed Consolidation "##roac$last column +ould become t$e leading driver 6or decommissioning,

consolidating, virtuali/ing or migrating to cloud com#uting o6 maor systems

li i $ b 6 ili i $ d i i $ d


24/39


Conduct (o6t+are "sset Inventory

Im#lement Denitive (o6t+are 9ibrary D(9

Im#lement (o6t+are 9icense anagement Com#liance

,o-t*are Development $i-ecycle ;,D$C? ' IT ,ervice anagement

;ITI$5 CI4Dev? Objectives6

O#timi/e t$e (o6t+are Develo#ment 9i6ecycle (D9C Processes

8stablis$A(trengt$en t$e :elease C$ange anagement 6unctions

associated +it$ (D9C O#timi/e t$e :elease anagement Processes +$ic$ s$ould be closely

integrated +it$ C$ange anagement

O#timi/e t$e Incident and Problem anagement Processes

.1.! IT )ard*are Assets and (tili+ation Template ' Objectives

)$e #ur#ose o6 t$e I) 7ard+are "ssets and tili/ation )em#late is to

document all #$ysical servers and main6rames $osted in a data center, t$eir

count, CP and #o+er ca#acity and utili/ation, t$e availableAused storage and

nally t$e degree to +$ic$ server utili/ation $as been im#lemented +it$in a

data center. )$e degree o6 virtuali/ation is measured by t+o metricsH

Jirtuali/ation B R Jirtual 7ost Count A )otal server Count BL and

"verage >umber o6 J O( #er Jirtual 7ost Q.

)$ese serverAmain6rame utili/ation metrics are included in t$e agency*level


25/39


>IS (ervers

Ot$er (ervers

)$e only dierentiator bet+een t$e main6rame categories and t$e server

categories is t$e +ay eac$ o6 t$e t+o grou#s account 6or "verage CP

Ca#acity, i.e. in IP( 6or all main6rames and in 7/ 6or all servers.


26/39


FO: OFFICI"9 (8 O>9? Page 2'


27/39


Program Objectives -or IT )ard*are Assets and (tili+ation6

IT )ard*are Asset ' Con:guration anagement Objectives6

8stablis$A(trengt$en t$e 7ard+are "sset anagement Function

Conduct #eriodic "sset Inventory - an initial baseline and subseEuent

annual Inventory :e#orts

Im#lement Conguration anagement Data ase CD

Im#lement "sset Conguration anagement Processes

IT ,ervice anagement ;ITI$5 CI4,vc? Objectives6

8stablis$A(trengt$en t$e C$ange anagement 6unction and t$e

C$ange Control :evie+ oard CC:

O#timi/e t$e C$ange anagement #rocesses

O#timi/e t$e Incident and Problem anagement #rocesses

.1. IT "acilities5 &nergy5 ,torage and Telecom Template 'Objectives

)$e #ur#ose o6 t$e I) Facilities, 8nergy and )elecom )em#late is to document

electricity usage and cost, #o+er ca#acity, rac4 count utili/ation, total

storage ca#acity and utili/ation and telecom connectivity as designed,

im#lemented and used +it$in a data center. )$e tem#late is designed to

enable consistent I) Facilities data collection across data centers and across"gencies. It also aims to leverage only a 6e+ 4ey 6oundational data elements

e.g. )otal Data Center I) Po+er Ca#acity and Po+er sage, :ac4 Count and

:ac4 tili/ation in order to derive automatically more in6ormative data


28/39


:egarding I) Po+er metering, t$e 8P" recommendations 6rom t$e >ovember

12, 200< 5eb Con6erence are as 6ollo+sH

easurements o6 I) Po+er s$ould be made at t$e out#ut o6 t$e P(

meterL

I6 a data center does not $ave a P( meter, t$en I) Po+er s$ould be

measured at t$e PD meter or at a location closer to t$e rac4sL

I6 a data center $as more t$an 10B non*I) load on a P( meter it

s$ould measure I) Po+er at t$e PD meter or a location closer to t$e

rac4s, or it can sub*meter t$e non*I) loadL

I6 a data center #re6ers to measure I) Po+er at t$e PD meter, 8P"

allo+s trac4ing o6 I) Po+er at bot$ t$e P( and PD meters, but

re#orting #re6erence is given to t$e P( data.

"s I) Po+er metering tec$nology evolves and reac$es +ider ado#tion over

time, measurements at t$e rac4 or even at t$e server level +ill become more

6easible and routine, oering t$e best visibility into I) #o+er usage #atterns

and savings o##ortunities.


29/39


Program Objectives -or IT "acilities5 &nergy5 ,torage and Telecom6

Cooling Optimi+ation Objectives6

8ective use o6 air andAor liEuid economi/ers use outdoor air, +ater

+$ere #ossible

O#timal data center airMo+ conguration rac4 conguration A server

density

se o6 $ig$*eciency Com#uter :oom "ir Conditioning C:"C units,

variable s#eed c$illers, air*$andler 6ans, c$illed +ater #um#s

Po*er (sage Optimi+ation Objectives6

De#loy $ig$*eciency #o+er distribution and P( units

Im#lement digital control o6 #o+er su##lies including DC *DC

conversion

8nable #o+er management on all I) $ard+are eEui#ment

.1.3 Geograpic $ocation and %eal &state Template ' Objectives

)$e #ur#ose o6 t$e Geogra#$ic 9ocation and :eal 8state )em#late is to

c$aracteri/e t$e geogra#$ic location according to #o#ulation density citytier, geogra#$y climate and seismic /ones and energy sources eG:ID sub*

region, as +ell as t$e ty#e o6 real estate - by data center tier, o+ners$i#

model gross Moor area and cost


30/39


Program Objectives -or Geograpic $ocation and %eal &state6Geograpic $ocation Optimi+ation Objectives6

:educed ris4 o6 disasters natural or man*made


31/39


32/39


consolidation andAor t$roug$ t$e use o6 cloud com#uting services to ac$ieve

t$e tili/ation and Cost (avings targets outlined in sections 3.2 and 3.3.

During t$e analysis and strategic decision ma4ing "gencies s$ould alsoassess t$e security #role o6 systems and a##lications to ensure t$at securityreEuirements can be maintained +it$ alternative virtuali/ation andAor CloudCom#uting solutions. )$is analysis s$ould include t$e a##lication o6 NIST


33/39


34/39


Geograpic $ocation and %eal &state Decisions

Geograpic $ocation ' %eal &state Optimi+ation6

(elect consolidation locations based on reduced ris4, moderate

climate, energy cooling source #ro=imity, abundant net+or4 access

(elect real estate o#tions based on lo+ #o#ulation density resulting in

lo+er real estate acEuisition or leasing costs and in reduced

o#erational costs

Determine t$e o#timal use o6 gross sEuare 6ootage area to leverage

economies o6 scale and consider t$e available e=#ansion #otential 6or

accommodating long*term gro+t$ in demand data center li6es#an

could be +ell over 20*30 years

. Pase 7 Consolidation Design ' Transition Plan

)$e Consolidation Design +ill 6ocus on develo#ing tec$nical standards andarc$itectures as +ell as identi6ying o##ortunities 6or leveraging s$ared Cloud

Com#uting solutions +it$in "gencies and across "gencies. )$e Cloud

Com#uting solutions s$ould 6ocus on systems +it$ FI(" A >I() 00*%3 lo+

and moderate security reEuirements. (ystems +it$ lo+ and moderate

security reEuirements s$ould be strongly considered 6or Cloud Com#uting

eit$er via (o6t+are as a (ervice (aa(, Plat6orm as a (ervice Paa( or

In6rastructure as a (ervice Iaa( solutions.

)$e "gency )ransition Plan +ill dene t$e ste#s t$at t$e "gency +ill ta4e to

migrate a##lications consolidate servers t$roug$ virtuali/ation de#loy


35/39


Detailed )imetable, ilestones and 5or4 rea4do+n (tructure 5( 6or

"gency Consolidation 8=ecution

.3 Pase 3 7 Consolidation ' Optimi+ation &ecution

P$ase % Consolidation and O#timi/ation 8=ecution is t$e actual 6ulllment o6

t$e "gency Data Center Consolidation Plan and t$e e=ecution o6 t$e "gency

)ransition Plan. )$is #$ase +ill 6ocus on im#lementing t$e designed

arc$itecture solutions 6or t$e virtuali/ation o6 servers, migration o6 a##licationto a virtual environment, moving a##lications and in6rastructure to cloud

com#uting alternatives Iaa(, Paa( or (aa(, as +ell as on t$e

im#lementation o6 any #lanned I) Facilities o#timi/ation activities or site

migration eorts, e.g. rac4 s#ace consolidation, air Mo+ o#timi/ation, coolingA

#o+er system redesign, site consolidationArelocation, etc.

During t$is #$ase "gencies are reEuired to re#ort annually t$eir #rogress ont$e Data center Consolidation Plan as outlined in (ections .2 !tili"ation

Improvement #etricsand . Pro$ected Savin%s #etrics. )$is includes

t$e number o6 data centers t$at $ave been consolidated, t$e reduction in

data center Moor s#ace, energy consum#tion and t$e ado#tion o6

virtuali/ation andAor cloud tec$nology solutions to oToad t$e data center

s#ace and ca#acity +it$in "gency data centers.


36/39


37/39


Appendi A 7 Data Center Consolidation etrics Descriptions

FO: OFFICI"9 (8 O>9? Page 3;


38/39




39/39



data center consolidation plan

Documents