A summary of Cloud Computing concepts, advantages, and common sense predictions.

1. Cloud Computing
Overview and Predictions
May 2009
Brent Jackson
brent@jackson.name

2. Agenda
 Understanding and Managing the Hype
 Defining Cloud Computing
 Exploring Types of Cloud Computing
 Advantages and Disadvantages
 Impact and Predictions
 Resources

3. Managing Cloud Computing Hype
 “Cloud” as Present
Buzzword
 Vendors Adding
“Cloud” to Product
Lines
“Cloud is what we
do/sell.”
Trademark Attempt  Distinguish Hype from Reality
 Manage Expectations
 Leverage Interest

4. Defining Cloud Computing
 Network Delivery Service
Model for IT Services Virtualization,
Utility, Grid
Orientation
Services
SLA Implied/Explicit Internet
Standards
On-Demand
Pay-Per-Use
Multi-Customer
Cloud Computing
Internet Delivery Web
Hosting MSPs ???
Elastic Scalability
ASPs Cloud
 Not an Architecture Computing

5. Types of Cloud Computing
 Several Different Software as Platform as a
Types of CC Have a Service Service
(SaaS) (PaaS)
Emerged, Each
Delivered as a Service Infrastructure Cloud
 XaaS : Everything as a as a Service Service
(IaaS) Brokers
Service
Web 2.0
Portals &
Mashups

6. Software as a Service (SaaS)
 Whole Applications or  Examples
App Ecosystems Salesforce.com
Delivered via Internet NetSuite
 Multi-tennancy Ariba
 Some App Zoho
Customization RightNow
Google Apps
 Offline Usage Models
SAP Business ByDesign
Emerging
~FaceBook et al

7. Infrastructure as a Service (IaaS)
 Virtual Hardware  Examples
Delivered as a Service  Amazon Web Services
 EC2, S3, SimpleDB, SQS,
VMs / Compute Power MapReduce
Storage  GoGrid
Network (f/w, nlbs)  Flexiscale
 Google
 Virtual Software  App Engine, Gdata
Infrastructure  Rackspace / Mosso
Databases  Cloudera
 Hadoop
Messaging (MOM)
 Eucapyptus f/w
Data Processing  Nimbus f/w

8. Platform as a Service (PaaS)
 Internet Platforms to  Examples:
Develop, Test, Deploy Force.com
and Run Your Own Google App Engine
Applications Bungee
IDE LongJump
Standard or Proprietary Intuit Quickbase
Languages Coghead† (SAP)
Higher Level Etelos
Abstractions
(Many Run on IaaS)

9. Cloud Service Brokers (CSB)
 Cloud “Middleware”  Examples:
Intermediation Rearden Commerce
 Enhances a Service Boomi AtomSphere
 Performance, Security,
Dashboards, etc. Cast Iron
Aggregation  May be Deployed at
 Combines Services Service, Cloud, or
Arbitrage Consumer
 Flexible Aggregation
 Higher Availability
 Prevent Lock-in
(a.k.a. Integration as a Service)

10. Is Hadoop Cloud Computing?
 Except as a Service Offered by Cloudera, Hadoop / MapReduce
Frameworks Do Not Strictly Satisfy Definition of Cloud Computing
 Doug Cutting Does Not Consider Hadoop to be Cloud Computing
 However, Hadoop is Popularly Cited as an Example of Cloud
Computing
 Massively Distributed and Scalable
 Computation Near Data
 Leverages IaaS
 Hadoop Best Classified as Software IaaS (Data Processing)

11. Pros and Cons of Cloud Computing
Advantages Challenges
 Lower Startup Costs  Security
 Software  Trust Model Weak
 Infrastructure  Confidentiality
 Scale on Demand  Stability / Reliability
 “Unlimited” Capacity  Reduced Feature Set
 Less Maintenance  Performance Not
 Patching Guaranteed
 Updates
 Maturity
 Refesh
 Legal Ambiguities
 Technology Abstraction

12. Democratization
 Cloud Computing Tears Down Traditional Barriers to Entry
 Infrastructure Costs
 Software Licensing Costs
 Development Tools
 Distribution and Publishing
 Geographic Advantage
 Anyone with an Idea, Tenacity, Skills and an Internet Connection
Can Compete with Traditional Software Giants
 Dynamic Scaling to Success

13. Cloud Computing and Government
 President Obama as Technology Proponent
 Several Cloud Pilot Programs in 2010 Budget Request
 Federal CIO Vivek Kundra is a Cloud Proponent
 Washington DC use of Google Apps, Wikipedia, YouTube, Twitter
 Stated Objectives toward Shared Government IT Infrastructures
 “Cloud Czar” Patrick Stingley Appointed
 GSA CTO for Cloud Computing
 Federal Cloud Computing Summits
 Official NIST Definition of Cloud Computing
 Peter Mell, Tim Grace

14. Cloud Computing Predictions
 Rapid Growth Driven by Economics and Government
 Dominant DC Model for All but Largest Enterprises
 Cloud Computing Won’t Be a Panacea
 Major Shift in Software Market and Distribution Model
 Threat to Dominance of Present Vendors
 Consolidation of IaaS, PaaS Vendors
 Mega DCs May Drive Future Hardware Directions
 Proliferation of Cloud (Especially SaaS) Startups, Followed by
Acquisition
 Democratization of IT and Media
 Cloud Integration as an Emergent Service
 Hybrid Solutions Commonplace

15. Cloud Computing Predictions (2)
 PaaS Battle Over Languages: Familiarity vs. Abstraction
 Java and DSLs Likely Winners
 Most Small/Medium Businesses will be Serverless
 No IT other than Desktops and ISP
 Outages Continued but Reduced Impact
 Significant and Public Data Security Incidents with Subsequent
Lawsuits
 Limited Critical Mass of Private Clouds Will Limit Viability
 Killer Apps: Media, Mass Collaboration, and Gaming Will Continue
to Drive Cloud Computing
 PaaS More Fundamentally Changes Computing Paradigm than
Other Types of Cloud Computing

16. A Few Cloud Computing Resources
 Gartner Cloud Page
http://www.gartner.com/it/products/research/cloud_computing/cloud_comp
uting.jsp
 Burton Group Cloud Page
http://www.burtongroup.com/Research/Topics/CloudComputing.aspx?intc
mp=cloudhmbnr
 Business Cloud 9
http://www.businesscloud9.com
 Proposed 2010 Budget, section 9 (pg. 155)
http://www.whitehouse.gov/omb/budget/fy2010/assets/crosscutting.pdf
 Government Cloud Computing Summit
http://1105govinfoevents.com/EventOverview.aspx?Event=CLC09
 NIST Cloud Computing Definition
http://csrc.nist.gov/groups/SMA/ispab/documents/minutes/2008-12/cloud-
computing-standards_ISPAB-Dec2008_P-Mell.pdf