Clouds and Grid: Business and market
findings
Karita Luokkanen-Rabetino
Atos Origin
[email protected]
BEinGRID Business findings
• Market analysis
• Business modeling
• Exploitation
• Legal issues
• Business pilots
• Technical issues
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Business Experiments in GRID
Contents
Foreword
PART I: Introduction
1 Introduction: Business and Technological
Drivers of Grid Computing
2 The BEinGRID Project
Part II: Grid and Cloud Basics –
Definition, Classification, Business
Models
3 Grid Basics
4 Cloud Basics – An Introduction to Cloud
5 Grid Business Models
6 Grid Value Chains – What is a Grid
Solution?
7 Legal Issues in Grid and Cloud
Computing
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PART III: Grid Business Experiments
8 Common Capabilities for Service Oriented
Infrastructures – Grid and Cloud
Computing
9 Remote Computational Tools
for Radiotherapy Cancer Treatment
Planning
10 Business Experiment Ship Building
11 AgroGrid – Grid Technologies in Agro
Food Business
12 Virtual Hosting Environments for Online
Gaming
13 Organizational and Governance
Challenges for Grid Computing
in Companies – Summary of Findings from
Business Experiments
Part IV:
14 Practical Guidelines for Evolving IT
Infrastructure towards Grids
and Clouds
Business Experiments in GRID
Grid business models
Three business model categories:
1. Common use of resources and IaaS
–
Enable high performance computing:
• Through access to external HPC resources
• Through creating internal GRIDs based on existing company
resources
2. Collaboration and resource sharing (VO)
–
Enable and support efficient inter- and intracompany collaboration
• Establishment of virtual organization
• Data and resource sharing
3. XaaS (e.g. SaaS, PaaS)
–
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Moves from a fixed to flexible cost models (pay-per-use model)
• The Service Oriented Architectures or the component-based
development along with new models for provisioning of their services
such the pay-per-use or SaaS
Business Experiments in GRID
Preferred Business Models of 25 BEs
Short term
•
Category 1: Common use of
resources and IaaS
•
Category 2: Collaboration/
VO
•
Category 3: SaaS
Long term
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Business Experiments in GRID
Grid computing benefits and costs for
the end user (demonstrated by BEs):
Potential gains:
Potential costs:
• Significant task acceleration
•The application grid enablement
/ switch to pay per licenses
• Increased flexibility and
scalability
•Connection and communication
costs
• Lower IT infrastructure
and
Demonstrated examples of Grid benefits
maintenance
costs
•Investment
in new
Cancer treatment:
time for treatment
calculations
frommonitoring
193 to 4 hours
tools
employee
training
Ship building:
fire and
simulation
from one
month to
• Conversion
of fixed computing
to variabletime for
one
day
costs
•Change
process
• Competitive advantage
•Higher requirements related to
security and privacy aspects
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Business Experiments in GRID
Challenges and changes required to
apply high performance computing and
external utility computing
• The usage of HPC or IaaS (clouds) require Grid
enabled applications
Contracts and SLAs
• The choice of external
utility
computing providers and
Liabilities
of
the establishment
of contractual
relationships
Grid/Cloud
providers
Security issues
• Mayor legal aspects
Privacy
• Changes in IT governance
Taxation
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Business Experiments in GRID
Grid market players and value
networks
Clusters/ecosystems:
• Utility computing
• Application/SaaS
provision
• VAS and
consultancy
• Telco and
connectivity
© Springer
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Business Experiments in GRID
The Evolution from Grid Computing to
Cloud Computing
• Trends in Grid computing
– Convergence of Grid and Service-Oriented Computing
– Convergence of Grid computing and SaaS
– The evolution towards cloud computing
©Springer
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Business Experiments in GRID
Grids and Clouds
Grid/SOA
Market
e.g. Amazon EC2 and S3,
or Sun Grid Compute Utility
Infrastructure
Budget
Grid Middleware
Market
Utility Computing
Market
e.g. Force.com
Grid-enabled
Application Market
Internal deployment
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SaaS Market
existing areas,
e.g. CRM or SCM
new areas,
e.g. eScience
Software
Application
Budget
e.g. Salesforce.com
Business Experiments in GRID
Conclusions
“… Cloud Computing not only overlaps with Grid Computing, it is indeed
evolved out of Grid Computing and relies on Grid Computing as its
backbone and infrastructure support. The evolution has been a result of
a shift in focus from an infrastructure that delivers storage and compute
resources (such is the case in Grids) to one that is economy based
aiming to deliver more abstract resources and services (such is the
case in Clouds)”. (Foster et al., 2008)
•This evolution supported by
BEs
•Strong interdependence
between utility computing and
SaaS providers (e.g Gridenabled applications)
The needs of utility
computing and SaaS providers
meet on cloud
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©Springer
Business Experiments in GRID
THANK YOU
© BEinGRID Consortium