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클라우드 컴퓨팅에 따른 데이터센터의 변화

2009년 12월

클라우드컴퓨팅포럼 발표자료

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클라우드 컴퓨팅에 따른 데이터센터의 변화

  1. 1. 클라우드 컴퓨팅에 따른 데이터센터의 변화(Datacenter as a Service) Wednesday, December 2, 2009
  2. 2. New Roles of IT• Become Responsible for electricity costs in data center and computer operations• Corporations will implement “smart technology” to achieve sustainability goals
  3. 3. What is Datacenter??
  4. 4. Google Trends ...
  5. 5. Perspectives on Cloud Computing CloudComputing
  6. 6. What is Cloud Computing???Cloud Computing is the evolution and convergence ofmany seemingly independent computing trends :• SaaS, PaaS, IaaS, XaaS• Utility Computing • Intenet Delivery• Virtualization • Commoditization• SOA• Grid Computing • Web 2.0• Distributed Computing • IT Outsourcing• Data Center Automation
  7. 7. Definition• Outsourcing infrastructure to the „cloud‟• Renting virtual infrastructure processing-power, storage etc.
  8. 8. Definition• Traditional Data Center Buy the Car
  9. 9. Definition• Use XaaS Service Leasing a Car
  10. 10. Definition• Use Cloud Computing Pay as you GO
  11. 11. Definition• Dev > Test > Setup > Serv. + Hardware costs + Idle machines + Software costs + Bandwidth management + Maintenance + Server hosting + Load balancing + Storage management + Scaling + High availability + Utilization
  12. 12. Economies of Scale• Data Centers benefit from economies of scale Resource Cost in Medium Data Cost in Large Data Ratio Center Center Construction 10,000~16,000₡/sqm 8,000~10,000₡/sqm 1.5x Network 72₡Mbps/month 10₡Mbps/month 7.1x Storage 1.68₡ GB/month 0.31₡ GB/month 5.7x Administration 140 server/admin 1000 server/admin 7.1x
  13. 13. Economies of Scale• Cloud Computing Economies of ScaleCloud Computing is 5-7x cheaper compared to traditionalin-house datacenter Requirements Using Processing Delivery Total 500GB Servers Time Time Time 20 ServersIn-house $20,000 20 50 Hours - 50 HoursComputingAmazon $150 * 50 1000 1 Hour 55.6 Hours 56.6 HoursE2C
  14. 14. Economies of Scale• Economics of Cloud Users
  15. 15. Driving Standards for Data Center
  16. 16. Cloud Center Buildout• Major Cloud Center Players  Amazon E2C - aws.amazon.com/e2c/  Google  IBM / Smart Business Service - www.ibm.com/ibm/cloud  Microsoft / Azure Service Platform - www.microsoft.com/azure/  Sun / Sun Cloud - www.sun.com/solutions/cloudcomputing
  17. 17. Datacenter as a Service
  18. 18. Two Types of Clouds• On-demand resources & services over a network at the scale of a data center  On-demand computing instances (IaaS) - Support many Web 2.0 applications/users  On-demand cloud services for large data cloud application (PaaS for large data clouds) - Manage and compute with large data
  19. 19. Best-suited for Cloud Computing• To your best knowledge, what two solutions are best- suited for a Cloud Computing environment? Other (Media/File/Raw Stroage, E-mail etc) 7% Traditional IT 7% File/Print Server 7% Testing/Development 20% Application Server 37% Database Server 41% Web Applications 70% 0% 10% 20% 30% 40% 50% 60% 70% 80% * SOURCE : 2009 Cloud Computing Trends Report, hosting.com
  20. 20. Changing Landscape of Data Center Web 1.0 Web 2.0 Web 3.0 User Generated Platform as aKiller Internet Content Social Service Lower EntryApplications Networking BarriersEveryone Can Everyone Can Everyone Can Access Contribute Innovate
  21. 21. Changing Landscape of Data Center Datacenter 1.0 Datacenter 2.0 Datacenter 3.0• Generic machines • Cloud based stored together in a • Physical & virtual locked room • Blade servers, VMs server and virtual• Mostly physical • Physical & virtual resources servers servers • Provision time in• Provision time-days • Provision time down to minutes• User did not have hours • Dynamic & transparent much control on what • Self service provisioning provisioning was in the server • Mgmt tools used • Mgmt tools come room extensively installed along with• Very little or no mgmt • Data center admin role the hardware tools more challenging • Data center admin• Data center admin role much more role mostly menial sophisticated Everyone Can Everyone Can Everyone Can Access Contribute Innovate
  22. 22. Conclusions• Don‟t waste • Multitenant resources on solutions building your own are available datacenters• Consolidate & migrate • Virtualiazation• Build or buy web • Pay-per-use applications

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