1. Clouds and Grid: Business and market findings Karita Luokkanen-Rabetino Atos Origin karita.luokkanen@atosorigin.com

2. Business Experiments in GRID 2 BEinGRID Business findings Market analysis Business modeling Exploitation Legal issues Business pilots Technical issues

3. Business Experiments in GRID 3 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 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

4. Business Experiments in GRID 4 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

5. Business Experiments in GRID 5 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

6. Business Experiments in GRID 6 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 benefits Cancer treatment: time for treatment calculations from 193 to 4 hours Ship building: computing time for fire simulation from one month to one day

7. Business Experiments in GRID 7 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

8. Business Experiments in GRID 8 Grid market players and value networks Clusters/ecosystems: Utility computing Application/SaaS provision VAS and consultancy Telco and connectivity © Springer

9. Business Experiments in GRID 9 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

10. Business Experiments in GRID 10 Grids and Clouds e.g. Amazon EC2 and S3, or Sun Grid Compute Utility e.g. Salesforce.com e.g. Force.com

11. Business Experiments in GRID 11 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

12. THANK YOU © BEinGRID Consortium