Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
CO M PU TI G PA RA D I M D I          N           G     SRU PTI N S                                   OM or t    e han j a...
Cloud computing is a pay-per-use model for enabling available, convenient, on-demand network access to a shared pool of co...
Application runs      Application runs at a hoster   Application runs using cloud      on-premises                        ...
Publc Cl                         i oud Bus nes Cas                                  i s     e   s    rLes Cont oloverdata
Traditional            Infrastructure                                Platform                               Software      ...
Studies show that a 100,000‐server datacenter can have 80% lower total cost of ownership (TCO) compared to a 1,000‐server ...
Modern Cloud DCs                                              Microsoft Average PUE Targets for                           ...
Com pute                                    Com pute               A verage U sage                                        ...
Dicus i – Pot i Cl s son       ental oud Usage Pat er                                t ns     Pat er        t n           ...
St andar and Choi i Devel     ds       ce n    opm ent                 W S-Eventng                          i             ...
• Shift to “Cloud First” policy. Each agency will identify three  “must move” services within three months, and move one o...
Customization                                                        Development ToolsValue                           Midd...
Software Services and Innovation                                                               Development Tools          ...
P5 cloud economics_v1
P5 cloud economics_v1
P5 cloud economics_v1
P5 cloud economics_v1
P5 cloud economics_v1
P5 cloud economics_v1
Upcoming SlideShare
Loading in …5
×

P5 cloud economics_v1

447 views

Published on

Published in: Technology, Business
  • Be the first to comment

  • Be the first to like this

P5 cloud economics_v1

  1. 1. CO M PU TI G PA RA D I M D I N G SRU PTI N S OM or t e han j a t ust ech shi … com peli busi ft lng ness case TECH N O LO G Y BU SI ESS CA SE N M A I FRA M E N • Centralized  multipurpose compute  • Usable for business, Optimized for  & storage, thin clients efficiency due to high cost CLI T-SERVER EN • Optimized for agility due to low cost  • PCs and servers for distributed  and ease of use. compute, storage, GUI, etc. CLO U D • Large DCs, commodity HW, scale‐out,  • Order of magnitude better efficiency  multiple devices and agility
  2. 2. Cloud computing is a pay-per-use model for enabling available, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, services) that can be rapidlyprovisioned and released with minimal management effort or service provider interaction (NIST – National Institute of Standards & Technology).
  3. 3. Application runs Application runs at a hoster Application runs using cloud on-premises platform Pay someone to host myBuy my own hardware, and application using hardware manage my own data that I specify center
  4. 4. Publc Cl i oud Bus nes Cas i s e s rLes Cont oloverdata
  5. 5. Traditional Infrastructure Platform Software (as a Service) (as a Service) (as a Service) You manage Applications Applications Applications Applications You manage Data Data Data Data Runtime Runtime Runtime Runtime Managed by provider Managed by providerYou manage Middleware Middleware Middleware Middleware O/S O/S O/S O/S Managed by provider Virtualization Virtualization Virtualization Virtualization Servers Servers Servers Servers Storage Storage Storage Storage Networking Networking Networking Networking Operations Operations Operations Operations
  6. 6. Studies show that a 100,000‐server datacenter can have 80% lower total cost of ownership (TCO) compared to a 1,000‐server datacenter. 
  7. 7. Modern Cloud DCs Microsoft Average PUE Targets for  New DCs 2.200 2.000 1.800 1.600 1.400 1.200 1.000 2006 2008 2010 2012 PUETypical DCs PUE : 4Best in class enterprise DC PUE : 2
  8. 8. Com pute Com pute A verage U sage A verage U sage Ti e m Ti e m e eCom put Com put Inact vi y i t Per od i A verage U sage A verage U sage Ti e m Ti e m
  9. 9. Dicus i – Pot i Cl s son ental oud Usage Pat er t ns Pat er t n Areas of i er nt est 1 Transf ence : er • Com pany Em ai,W eb Sie. l t Taki exi tng on- em i e app and m ovi i t t ng s i pr s ng t o he • N ew bus nes m odel – SaaS. i s s cloud. • Aler i s t ar depl t natve of w e oym ent m odel . s 2 Scal & M ul i e t -Tenancy: • Tes i t m ar . tng he ket Abiiy t handl w eb l lt o e oad w ihoutf lcapial t ul t i nves m entf om day 1. t r 3 Burst Com pute: • H PC applcatons s utons i i / ol i . Abiiy t handl addii lt o e tonalcom put on an as needed e • Scal lt t tng applcatons abiiy es i i i . bas s i. 4 El i St age: ast c or • Bus nes nt lgence. i si eli Cr i an applcaton w her s or eatng i i e t age can grow • Genom i . cs exponentaly. il • Load t tng on l ge dat es i ar abas . es 5 I er r nt -O gani i Com m uni i zat on cat ons: • D i t i ed devel s rbut opm ent. Applcaton t has t abiiy t com m uni e i i hat he lt o cat • Colabor i R& D. l atve bet een or w gani i us ng t cl zatons i he oud as t pr he e- defned hub. i
  10. 10. St andar and Choi i Devel ds ce n opm ent W S-Eventng i At Pub om W S- us Tr t SO AP RSSSAM L Azure Platform ™ REST H TTP W S- an M O penI D Standar bas i er ds ed nt oper lt abiiy
  11. 11. • Shift to “Cloud First” policy. Each agency will identify three “must move” services within three months, and move one of those services to the cloud within 12 month and the remaining two within 18 months.• The three-part strategy on cloud technology will revolve around using commercial cloud technologies where feasible, launching private government clouds, and utilizing regional clouds with state and local governments where appropriate.• Reduce number of Federal data centers by at least 800 by 2015
  12. 12. Customization Development ToolsValue Middleware (EAI, EII, ETL) Core Platforms (DB, App Server) Operating System (Windows, Linux, Mainframe) Virtual Machine, Management Tools Hardware
  13. 13. Software Services and Innovation Development Tools Software as a Service (SaaS)Value Middleware (EAI, EII, ETL) Platform as (DB, App Server) Core Platforms a Service (PaaS) Operating System (Windows, Linux, Mainframe) Virtual Machine, Management Tools Infrastructure as a Service (IaaS) Hardware

×