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클클클클 클클클클 클클 클클클클클클 클클 (Datacenter as a Service) Wednesday, December 2, 2009

클라우드 컴퓨팅에 따른 데이터센터의 변화

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2009년 12월클라우드컴퓨팅포럼 발표자료

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Page 1: 클라우드 컴퓨팅에 따른 데이터센터의 변화

클라우드 컴퓨팅에 따른 데이터센터의 변화(Datacenter as a Service)

Wednesday, December 2, 2009

Page 2: 클라우드 컴퓨팅에 따른 데이터센터의 변화

New Roles of IT

• Become Responsible for electricity costs in data center and computer

operations

• Corporations will implement “smart technology” to achieve sustainability goals

Page 3: 클라우드 컴퓨팅에 따른 데이터센터의 변화

What is Datacenter??

Page 4: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Google Trends ...

Page 5: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Perspectives on Cloud Computing

CloudComputing

Page 6: 클라우드 컴퓨팅에 따른 데이터센터의 변화

What is Cloud Computing???

Cloud Computing is the evolution and convergence ofmany seemingly independent computing trends :

• SaaS, PaaS, IaaS, XaaS• Utility Computing• Virtualization• SOA• Grid Computing• Distributed Computing• Data Center Automation

• Intenet Delivery• Commoditization

• Web 2.0• IT Outsourcing

Page 7: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Definition

• Outsourcing infrastructure to the ‘cloud’

• Renting virtual infrastructure

processing-power, storage etc.

Page 8: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Definition

• Traditional Data Center

Buy the Car

Page 9: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Definition

• Use XaaS Service

Leasing a Car

Page 10: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Definition

• Use Cloud Comput-ing

Pay as you GO

Page 11: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Definition

• Dev > Test > Setup > Serv.

+ Hardware costs+ Software costs+ Maintenance+ Load balancing+ Scaling+ Utilization

+ Idle machines+ Bandwidth management+ Server hosting+ Storage management+ High availability

Page 12: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Economies of Scale

• Data Centers benefit from economies of scale

Resource Cost in Medium Data Center

Cost in Large Data Center

Ratio

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

Page 13: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Economies of Scale

• Cloud Computing Economies of Scale

Cloud Computing is 5-7x cheaper compared to traditionalin-house datacenter

Require-ments500GB20 Servers

Using Servers

Process-ing Time

DeliveryTime

TotalTime

In-houseComputing

$20,000 20 50 Hours - 50 Hours

AmazonE2C

$150 * 50 1000 1 Hour 55.6 Hours 56.6 Hours

Page 14: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Economies of Scale

• Economics of Cloud Users

Page 15: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Driving Standards for Data Center

Page 16: 클라우드 컴퓨팅에 따른 데이터센터의 변화

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

Page 17: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Datacenter as a Service

Page 18: 클라우드 컴퓨팅에 따른 데이터센터의 변화

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

Page 19: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Best-suited for Cloud Computing

• To your best knowledge, what two solutions are best- suited for a Cloud Computing environment?

Web Applications

Database Server

Application Server

Testing/Development

File/Print Server

Traditional IT

Other (Media/File/Raw Stroage, E-mail etc)

0% 10% 20% 30% 40% 50% 60% 70% 80%

70%

41%

37%

20%

7%

7%

7%

* SOURCE : 2009 Cloud Computing Trends Report, hosting.com

Page 20: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Changing Landscape of Data Center

Web 1.0

Killer Internet Ap-plications

Web 2.0

User Generated Content Social

Networking

Web 3.0

Platform as a Ser-vice Lower Entry

Barriers

Everyone CanAccess

Everyone CanContribute

Everyone CanInnovate

Page 21: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Changing Landscape of Data Center

Datacenter 1.0

• Generic machines stored together in a locked room• Mostly physical servers• Provision time-days• User did not have much control on what was in the server room• Very little or no mgmt tools• Data center admin role mostly menial

Datacenter 2.0

• Blade servers, VMs• Physical & virtual servers• Provision time down to hours• Self service provision-ing• Mgmt tools used extensively• Data center admin role more challenging

Datacenter 3.0

• Cloud based• Physical & virtual server and virtual resources• Provision time in minutes• Dynamic & transpar-ent provisioning• Mgmt tools come installed along with the hardware• Data center admin role much more sophisticated

Everyone CanAccess

Everyone CanContribute

Everyone CanInnovate

Page 22: 클라우드 컴퓨팅에 따른 데이터센터의 변화

Conclusions

• Don’t waste resources on building your own datacenters

• Consolidate & mi-grate

• Build or buy web applications

• Multitenant solutions are avail-able

• Virtualiaza-tion

• Pay-per-use