Paris Georgallis, VP of Platform Operations & IT at RMS, takes a moment to get back to basics and provide us with an introduction to the 'cloud' and how it is evolving. Thanks Paris!

1. WHY CLOUD?
An Introduction to Cloud Computing

2. Cloud is an evolution of technology
1877-1928 1948-1955 1982 - 1999 2000 – 2007 2000 – 2007
1962 - 1963
Music as a
Service in the
Cloud - now
considered the
standard

3. WHAT IS
CLOUD?
… IT DEPENDS WHO
YOU ASK

4. SHARED ECONOMIES OF
COHERENCE
RESOURCES SCALE
CLOUD COMPUTING:
THE USE OF CONVERGED,
INFRASTRUCTURE, VIRTUALIZED
COMPUTING & STORAGE
RESOURCES THAT ARE DELIVERED
AS A SERVICE OVER A NETWORK

5. EVOLUTION
OF CLOUD
COMPUTING
Cloud
Grid Computing
Inflection Point in the late 1990’s early 2000’s
Computing •SaaS
 Internet Boom X86 •Utility
•PaaS
•IaaS
 Linux Architecture Computing •Private/Hybrid/
 Proliferation of Broadband Mini •PC Revolution Community/Public
 Commodity HW / SW Compute •Servers
 Mobile •Dec Vax •Client / Server
 Virtualization Technologies •HP 3000 •Departmental
 Open Source •Sun SPARC Computing
Mainframe

6. CLOUD
COMPUTING:
EVOLUTION 1979 1980’s Colo 1990’s ASP 2000’s Cloud
(ISP (ISP (ISP
OF HOSTING ISP 1.0 ISP 2.0 3.0) 4.0) 5.0)
Access to the Access to Racks Hosted Dynamic,
Internet (dial servers at and (Traditionally Internet
up, ISDN, T1) the services designed) optimized
Compuserve internet for your applications infrastructure
followed by access equipmen on servers for delivering
Prodigy which point/dat t at the within the SaaS, PaaS
later become a center internet access and IaaS
AOL access point/ data services
point/dat center
a center
SaaS – Internet Based applications and services

7. WHY CLOUD?
FASTER TIME
ELASTIC
TO MARKET
"computation may someday
be organized as a public
utility” - 1960
NO/LOW
INTIAL
INVESTMENT
PAY AS YOU FOCUS ON THE
CONSUME BUSINESS
John McCarthy
(SEPTEMBER 4, 1927 – OCTOBER 24, 2011)

8. DEMAND VARIES OVER
TIME
• Provisioning for ELASTIC
peak leads to under-
utilization at other
times
• Pay by the hour or
some other “unit”
DEMAND UNKNOWN IN
ADVANCE
• For example a web
startup may
experience a huge
surge
• Pay as you go
requires no/lower
upfront commitment

9. BENEFITS
FASTER NO/LOW
TIME TO INTIAL
MARKET INVESTMENT
• Infrastructure available on Nothing to buy
demand. A server can be
provisioned in less than an
hour
• Build, test, deploy with out
spending cycles on
managing infrastructure FOCUS ON
PAY AS YOU
THE
CONSUME
BUSINESS
Pay for what you consume. Pay Focus on operating the
by the “unit” when idle business not the
CPU/network unit cost is close infrastructure
to $0.00

10. IMPACT ON
BUSINESS AN EXAMPLE:
10,000
30
COMPUTERS MINUTES

11. CLOUD COMPUTING TECHNOLOGIES
Technologies Cloud Services Examples
Applications Software as a SalesForce, WebEx,
Service (SaaS) NetSuite, Office
365, Google Apps
Development Platforms
Windows Azure,
Platform as a (PaaS) – Intuit Partner
Support Services Platform, Google
Multi-Tenant Deployment (Storage, DB, Security)
Apps Engine,
Paypal
Virtualization,
Infrastructure AT&T, Verizon,
Management and CPU Infrastructure as a
Amazon Web
Engines (IaaS)
Services,
Processing Hardware

12. CLOUD COMPUTING
Consume Service Consume Middleware Consume Infrastructure
Software as a Service Platform as a Service Infrastructure as a Service
(SaaS) (PaaS) (IaaS)
• email • Application • Caching
• CRM Development • Self PaaS or SaaS
• Collaborative • Decision Support • Systems Management
• ERP • Web • Networking
• Streaming • Storage
• Pay Pal

13. DEPLOYMENT TYPES of Infrastructure Infrastructure Infrastructure Accessible
MODEL CLOUD Managed By Owned By Located and
Consumed By
CHARACTERISTICS
Public Third Party Third Party Off-Premise Untrusted
Provider Provider
Private/ Organization Organization On-Premise
Community Trusted
Third Party Third Party Off-Premise
Provider Provider
Hybrid Both Both Both On- Trusted &
Organization & Organization & Premise & Untrusted
Third Party Third Party Off-Premise
Provider Provider

14. CLOUD
MODALITIES Compliance Capability
10
9
8
DEDICATED 7
PRIVATE
6
5 FD - Dedicated
4
3
2
Cost Optimization 1 HC - Hybrid
0 Performance Capability
Capability
SHARED FS - Shared
PUBLIC
On-Demand Scaling
Capability
HYBRID