Cloud Computing An enterprise perspective

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Cloud Computing – An enterprise perspective

Raghavan Subramanian

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Overview of cloud computing?

Cloud computing*

Computing in which dynamically scalable and often virtualized

resources are provided as a service over the Internet/Intranet”.

Five characteristics of cloud computing

1. On-demand self-service

2. Ubiquitous network access

3. Location independent resource pooling

4. Rapid elasticity

5. Pay Per Use

Cloud delivery models** 1. IaaS

2. PaaS

3. SaaS

4. Praas

Cloud deployment models** 1. Public clouds

2. Private clouds

3. Community clouds

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Pros and Cons of cloud computing*

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Market potential – Analyst speak

• By 2011 the volume of cloud computing market opportunity would amount to

$160bn - $95bn in business applications and $65bn in online advertising

• By 2012, 80% of Fortune 1000 enterprises will be paying for some cloud

computing services

• By 2012, 30% of Fortune 1000 enterprises will be paying for some cloud

infrastructure services

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Does the future of computing have anything to do

with the past of power generation?

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The cloud computing landscape

IaaS SaaS PaaS Virt PraaS Public cloud (SMBs, ISVs, Enterprises) Private cloud (Enterprises)

Proprietary and confidential

Xen

Hyper-V

Force.com SuiteCloud

Not Applicable

VCE IBM

Bluecloud Elastra Platform

Computing 3Tera

Gigaspaces Apprenda LongJump Bungee labs 170 Systems ACS ADP

Authorize.net Chi-X Not Applicable

Salesforce.com NetSuite ORACLE OnDemand

Google APE Windows Azure

Amazon RackSpace GoGrid

Amazon VPC VMWare

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Market forces are pulling enterprises in various directions

Self-Service Customer Applications Customer and Sales Management Customer Products Transaction Processing Enterprise Management and Support

HRM

Product Management

Operations and Support Accounts

BI & Analytics Audits Regulations Risk Mgmt

Procurement

Hardware (servers, network, storage) Facilities-Location, Power, POP, Cooling

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An architectural view of the cloud-computing stack

Multiple Deployment Models Data Center Facilities

Physical Infrastructure Virtualized Infrastructure Runtime Platforms Business Cloud Platforms SaaS Platforms

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Cloud Computing – Impact on Enterprises

SaaS

ISV SaaS Enable

PaaS

IaaS

IT hosting providers Public cloud

Data center

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Industries impacted by cloud

Industries not impacted by cloud

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Infosys Research in Cloud Computing

Infrastructure Optimization

• Enterprise Private Cloud Solution • On-Demand Test Cloud Solution

• Cloud Management and Automated SLA Management Solutions

Scalable cloud platforms

• Low cost storage solutions • Low cost processing solutions • Business cloud platform solutions

Cloud Application Development Accelerators

• Application assessment and migration • Multi-Tenant SaaS Application framework

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Early adoption of cloud computing (1/2)

• Animoto, which creates videos for consumers and corporations, uses Amazon EC2 and S3 to manage gigantic spikes in usage (e.g. going from 70 servers to 8,500 servers in 5 days).

• Harvard Medical School

Harvard’s Laboratory for Personalized Medicine (LPM) uses customized Oracle AMIs on Amazon EC2 to run genetic testing models and simulations.

• Washington Post

The Washington Post uses Amazon EC2 to turn Hillary Clinton’s White House schedule—17,481 non-searchable PDF pages—into a searchable database within 24 hours.

• The New York Times

New York Times used Amazon EC2 to convert full page images of its newspapers from 1851 to 1922 into PDF using Amazon EC2

• Virgin Atlantic’s Vtravelled.com

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Early adoption of cloud computing (2/2)

• NASDAQ Market Replay provides a NASDAQ-validated replay and analysis of the activity in the stock market. The application is built using the Adobe Flex and AIR platform, and utilizes the Amazon Simple Storage Service (S3) for persisting historical market data

• BNP Paribas is using an on-demand computing service from IBM to run its risk application.

• NedBank Using CloudBurst the bank’s IT department can now provision the environment overnight,

the results are available in the morning, the IT staff checks a couple of things, ensure that it’s all OK and get back onto the project work

• First Bank in Louisville wanted to deliver lender and cash-management support products based on

the software as a service model; they quickly leapt on the nascent cloud concept

• SunTrust late last year rolled out a new relationship-management application to more than 2,000

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Trends from the early adoption of cloud computing

• Private clouds find favor among data-center folks, PaaS with the developer

community and SaaS/PraaS with the business community

• SMEs are the early adopters IaaS

–

IaaS provides an easy and low-cost way to test a start-up’s ideas

• ISVs are looking for mature PaaS options, but are finding it way short of the

tools/utilities that they are used to from the on-premise world.

• Enterprises are testing cloudy-waters by deploying B2C standalone

applications

• SaaS is the most easily adopted category

–

Salesforce.com, Office

• Virtualized Desktop Infrastructure

• Security conscious early adopters are setting-up private clouds

–

Consolidation  Abstraction  Automation  Utility  Market

• Strong resistance to re-engineering applications for clouds

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Challenges faced

• Capacity planning and SLA management

• Vendor viability (CogHead scenario?)

• Lots of unknowns

–

Data location - Does it comply with your regulatory requirements

–

Data loss - What is the back-up/restoration procedure followed

–

Data Security - The procedures followed to protect the data

–

Data clean-up after discontinuation of service

• Lack of widely adopted Standards

–

IaaS - Virtual machine templates (OVF)

–

IaaS - Uploading, downloading, inspecting, configuring, and performing

actions like spinning new instances (OCCI)

–

IaaS/PaaS - Machine Data and code portability

–

PaaS

– Choose a framework offered by multiple providers and avoid

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Will IT delivery go the power delivery way?

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The result of centralized low cost power generation

and distribution

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Cloud computing must move away from merely

being a low-cost IT delivery model

• An organization might provide a core set of assets/features, that can be used by other

organizations to write and run applications (Value-added-services, VAS)

– Facebook revolutionized this concept in social networking

– Telecom industry has adopted this widely

• Can industry functions be generically characterized?

Mobile SP or handset mfgr Communication as a service

(Location)

Friend locator VAS2 VAS3

Comm OS Comm apps

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