1. ECEE  Enabling Clouds for eScience The open collaboration spot for cloud projects in Europe www. Scientific-cloud.org Åke Edlund, PhD KTH-SICS Cloud Innovation Center Vilnius 2011.04.13

2. Åke Edlund  Coordinator KTH-SICS Cloud Innovation Center (C!C)[1]  Managing Partner SICS Seed Accelerator[2]  Leading VENUS-C Scientific and International Cooperation[3]  Coordinating ECEE (see this presentation)[4]  December 2010: completed the NEON project (Northern Europe Cloud Computing) [1] www.pdc.kth.se/research/cloud-computing [2] www.sics.com/seedaccelerator [3] www.venus-c.eu [4] www.scientific-cloud.org

3. Why “ECEE”?  Many initiatives with similar goals  Accelerate the learning process  Share the load  Cross border and cross project services www. Scientific-cloud.org Vilnius 2011.04.13

4. Who’s “in”? So far. www.scientific-cloud.org VENUS-CItaly, Germany, UK, Spain, Sweden, Greece, Israel StratusLabFrance, Greece, Switzerland, Spain, Ireland NGSUnited Kingdom GRNET cloudGreece SARA cloudThe Netherlands UCMSpain – as part of the OpenNebula Project SEECCISlovenia, Croatia, Serbia, Bosnia and Herzegovina, Montenegro, Kosova, FYRo Macedonia, Albania, Romania, Bulgaria CESGASpain – as part of the Open Cirrus project NEONSweden, Norway, Denmark, Finland, Iceland BalticCloudEstonia, Latvia, Lithuania, Belarus, Poland Participated in workshops: VISION project Vilnius 2011.04.13

5. Collaboration cross European projects  Initiated in September 2009 – at EGEE’09  Meet twice a year  1 st workshop – OGF28, Munich, March 2010  2 nd workshop – EGI TF, Amsterdam, Sept 2010  3 rd workshop – EGI UF, Vilnius, April 2011 www. Scientific-cloud.org Vilnius 2011.04.13

6. Workshops – example  1 hr Industry presentations  2 hr Detailed findings - project-by-project, sharing specific findings, and respective roadmap  1 hrDiscussion, pointing at common challenges and how to share the load, to update common high-level roadmap www. Scientific-cloud.org Vilnius 2011.04.13

7. Sharing experiences – examples  Sharing experiences from using different cloud solutions – private and public  Security issues, issues with network topologies  Sharing experiences from management of private and hybrid clouds  Sharing user experiences  Users - hard to find good representatives that have the time to participate  Open source vs closed source - pros and cons  Pricing - how to compete, how to estimate, what are the risks www. Scientific-cloud.org Vilnius 2011.04.13

8. Looking at common challenges - examples  Investigate how to build a cloud storage infrastructure that supports the use of clouds for scientific applications.  Investigate if a machine provisioning interface like that of Amazon's EC2 coupled with a library of scientific appliances is of value to European academic research communities. www. Scientific-cloud.org Vilnius 2011.04.13

9. Looking at common challenges  Identify the economic value of cloud computing  Understand the economic implications of moving parts of HPC onto cloud infrastructures. -Estimate the fraction of current HPC compute jobs that could realistically be executed on clouds -Estimate the cost of building and operating a cloud facility of the same capacity as the above percentage of the total current resources -Estimate possible cost reductions achievable by scaling out peak loads to commercial clouds -Compare cost of a private cloud facility with a commercial cloud -Estimate savings in scenarios with -Commercial clouds when aiming at direct peering (data transfer cost) -Allocating their spare capacity at a reduced price www. Scientific-cloud.org Vilnius 2011.04.13

10. Big variety among ECEE projects: NEON www. Scientific-cloud.org

11. Supporting Multiple Basic Research Disciplines Biomedicine (3): Integrating widely used tools for Bioinformatics, System Biology and Drug Discovery into the VENUS-C infrastructure. Civil Protection & Emergencies (1): Early fire risk detection, through an application that will run models on the VENUS-C infrastructure, based on multiple data sources. Civil Engineering (2): Support complex computing tasks on Building Information Management for green constructions and dynamic building structure analysis. Data for Science (1): Integrating computing through VENUS-C on data repositories. In particular focus will be on Marine Biodiversity through Aquamaps. 7even User Scenarios Extending eScience Applications through Open Call: €20,000 funding each, in addition to Azure Compute, Storage and Network Resources porting applications to the cloud - education and training - scalability tests Extending eScience Applications through Open Call: €20,000 funding each, in addition to Azure Compute, Storage and Network Resources porting applications to the cloud - education and training - scalability tests Big variety among ECEE projects: VENUS-C

12. HPC Cloud www.cloud.sara.nl HPC System –Fast & Large RAM, CPU, Storage, Network IAAS, PAAS, SAAS Graphic User Interface –Standards: OCCI, CDMI Portal for user collaboration –Documentation, Fora & Wiki –User Projects –Ticket system –VM repository Usergroups –Life Sciences & Humanities (Ecology, Geography, Bioinformatics, psychology, Linguistics) –Sciences (Physics, CS, Chemistry) –More every day…

13. HPC Cloud Open Cloud Standards for System Interoperability Laptop Workstation HPC Systems – Sara – Neon – “Blue” – … Open Standards – OCCI (OGF) – CDMI (SNIA) – … Open Standards provide interoperability between all available systems to ensure maximal freedom of choice

14. Big variety among ECEE projects: StratusLab Provides complete, open-source IaaS cloud distribution. Focus on grid resource centers: Allow collaborative science with dynamic cloud resources Use of grid authn/authz mechanisms Demonstrate: Certified grid site over a StratusLab cloud InfrastructuresCertified EGI grid site running at GRNET. Reference cloud infrastructure for user feedback. Support at support@stratuslab.eu for help and access.support@stratuslab.eu Release (v0.3)Logging and security enhancements. Prototype Marketplace for shared images. Use of VOMS proxies. Inclusion of OpenNebula 2.2. http://stratuslab.eu/doku.php/release:download

15. Big variety among ECEE projects… www. Scientific-cloud.org Public Private IaaS SaaS ?

16. SUMMARY - ECEE  An open collaboration between cloud projects  All contributing projects are welcome to join.  Meet twice a year (as ECEE) to share experiences and roadmaps – initiated September 2009  ECEE is a complement to the project-to-project collaborations – bringing in many – often very different - projects to the same meeting  ECEE is in contact with the SIENA Roadmap Advisory Board to act as ‘interoperability-now’ feedback group to the SIENA Roadmap work. www. Scientific-cloud.org Vilnius 2011.04.13

17. www. Scientific-cloud.org Vilnius 2011.04.13 FutureGrid: An Experimental Computing Grid and Cloud Test-Bed Karolina Sarnowska-Upton, University of Virgina BiG Grid HPC Cloud Floris Sluiter, SARA Venus-C Architecture Hakan Soncu, Venus-C/EMIC StratusLab - Current Status and Plans Cal Loomis, StratusLab/IN2P3 ECEE Agenda (after lunch)

18. Thank you! Åke Edlund edlund@pdc.kth.se www. Scientific-cloud.org Vilnius 2011.04.13