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Clouds and Grid: Business and market findings
Karita Luokkanen-Rabetino Atos Origin
Business Experiments in GRID2
BEinGRID Business findings
• Market analysis
• Business modeling
• Exploitation
• Legal issues
• Business pilots
• Technical issues
Business Experiments in GRID3
Contents
Foreword
PART I: Introduction1 Introduction: Business and Technological
Drivers of Grid Computing 2 The BEinGRID Project
Part II: Grid and Cloud Basics –Definition, Classification, Business
Models3 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
PART III: Grid Business Experiments8 Common Capabilities for Service Oriented
Infrastructures – Grid and Cloud Computing
9 Remote Computational Toolsfor Radiotherapy Cancer Treatment
Planning 10 Business Experiment Ship Building 11 AgroGrid – Grid Technologies in Agro
Food Business12 Virtual Hosting Environments for Online
Gaming 13 Organizational and Governance
Challenges for Grid Computingin Companies – Summary of Findings from
Business Experiments
Part IV:14 Practical Guidelines for Evolving IT
Infrastructure towards Gridsand Clouds
Business Experiments in GRID4
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)– 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 GRID5
Preferred Business Models of 25 BEs
Short term
Long term
• Category 1: Common use of resources and IaaS
• Category 2: Collaboration/ VO
• Category 3: SaaS
Business Experiments in GRID6
Grid computing benefits and costs for the end user (demonstrated by BEs):
Potential gains:• Significant task acceleration• Increased flexibility and
scalability• Lower IT infrastructure and
maintenance costs• Conversion of fixed to variable
costs• Competitive advantage
Potential costs:•The application grid enablement / switch to pay per licenses•Connection and communication costs•Investment in new monitoring tools and employee training•Change process•Higher requirements related to security and privacy aspects
Demonstrated examples of Grid benefitsCancer treatment: time for treatment calculations from 193 to 4 hours
Ship building: computing time for fire simulation from one month to one day
Business Experiments in GRID7
Challenges and changes required to apply high performance computing and
external utility computing
• The usage of HPC or IaaS (clouds) require Grid enabled applications
• The choice of external utility computing providers and the establishment of contractual relationships
• Mayor legal aspects
• Changes in IT governance
Contracts and SLAs
Liabilities of
Grid/Cloud providers
Security issues
Privacy
Taxation
Business Experiments in GRID8
Grid market players and value networks
Clusters/ecosystems:
• Utility computing
• Application/SaaS
provision
• VAS and
consultancy
• Telco and
connectivity
© Springer
Business Experiments in GRID9
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
Business Experiments in GRID10
Grids and Clouds
Grid/SOAMarket
Utility Computing Market
Grid MiddlewareMarket
Grid-enabledApplication Market
Internal deployment
SoftwareApplication
Budget
InfrastructureBudget
SaaS Market
existing areas,e.g. CRM or SCM
new areas, e.g. eScience
e.g. Amazon EC2 and S3, or Sun Grid Compute Utility
e.g. Salesforce.com
e.g. Force.com
Business Experiments in GRID11
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 Grid-enabled applications)
The needs of utility computing and SaaS providers meet on cloud
©Springer
THANK YOU
© BEinGRID Consortium
