Cloud Computing Potentials
Discussion Document
Raphael Volz, Abraham Taherivand
June 2009
1
www.volzinnovation.com
Executive summary
Cloud computing applies best practices of enterprise
computing of last decades
Cloud services (IT-Services operated by IT-vendor)
particularly attractive for SMEs
Cloud infrastructure only cheaper, if inhouse infrastructure
utilization is low
Becoming a cloud infrastructure provider requires high
resource utiliziation and tight control of KPIs
Applying cloud computing architecture principles makes
inhouse IT-infrastructure more controllable
Building own cloud platform possible through available
Open Source platforms
Open Source platforms successfully used in many
application
2
Virtualization is experiencing a renaissance
and is the basis of cloud computing
Evolution of enterprise computing
1960 1980 2000 2008
Cloud
Mainframe Client/Server Virtualization
Computing
Mainframe is the Large number of One server hosts „Cloud“ as one
platform for all servers for multiple virtual abstract resource
applications specific machines combining all server
Client access via applications Virtual machines capacity
terminal Distributed share server Dynamic utilization
Increasing capacity access via resources of "cloud“
eventually means to network More efficient use of resources (on
buy new, larger protocols server resources demand)
mainframe Usually: low Cloud is the
IBM invents utilization per platform for all
virtualization to server applications
optimize mainframe
performance
Source of pictures: Wikimedia Commons, Mainframe IBM 704 by LLNL 4
Amazon and Google commercialize their
infrastructure
Genesis of cloud computing – Amazon und Google
Consumer internet providers require
high availability
Amazon offer:
Downtime = lost sales Storage
(S3/CloudFront/Simple DB)
Google: ~40k US$ per minute
Virtual Server
Amazon: ~35k US$ per minute (EC2, Elastic MapReduce)
Yahoo: ~10k US$ per minute Messaging System
(SQS)
Big providers requirements unmet by Google offer:
market offer
Own application platform
Big providers invest massively into (Java/Python)
own platforms and infrastructure Price model:
Standardized I. CPU hours
(Amazon by power,
Solid parallelized Google by use)
Fail-over and load-balanced II. Data transfer
Notes: revenue / minute from annual reports 2008 III. Storage space
Assumption: total systems failure worldwide
IV. No. of requests (Amazon)
5
IT vendors not only build but also „run“
their solution
Examples for cloud services
<SalesForce>
CRM
ERP for SME
Budgeting
Usual price model:
No. of users + resource consumption
Collaboration
CRM
Invoicing
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IT vendors not only build but also „run“
their solution
Examples cloud services Motivation IT vendors
<SalesForce>
CRM Economies of scale
Run through standardized
ERP for SME
multi-tier operation
Budgeting
Increased margins by
eliminating middle-
Build men in distribution
channel
Collaboration
Simplification of
CRM engineering by control
of platform
Plan
Invoicing
Note: Shift of value generation: today future
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