1. Cloud Computing projects in Engineering Harold Castro, Ph.D. Associate professor Systems and Computing Engineering COMIT (Communications and IT) Research Group IMAGINE Research Group http://sistemas.uniandes.edu.co/~comit http://imagine.uniandes.edu.co hcastro@uniandes.edu.co

2. Agenda Context University and CS needs Uniandes’ approach Cloud support Projects in the short term

3. Universidad de los Andes 9 schools  Architecture and Design  Arts and Humanities  Economy  Engineering  Law  Management  Medicine  Sciences  Social sciences School of Engineering  Chemical  Civil  Electric  Electronic  Environmental  Industrial  Mechanical  Systems and Computing Source: www.uniandes.edu.co

4. Universities focus University Research Education Computing power Experimenting laboratories Fast Accurate Big Collaboration Optimum Flexible Real Optimum

5. Research at Uniandes Federal organization  Independent and limited computing resources International projects  Collaboration tools Worldwide trend Campus Grid Uniandes

6. Institutional initiative (2007)  Lead by Sciences (HEP), Engineering (S&C) and DTI (Information Technology Office) Linked to the world using local Internet 2  CMS (EGEE), EELA-2, ROC-LA  Soon: GISELA, OSG National projection  Grid Colombia  Hosting Colombian CA Focus on new applications  Bioinformatics, Optimization, Computational Chemistry

7. Grid Uniandes current status

8. Grid Uniandes challenges To increase the computing power  Weak funding schemes for research  Private institution: Strong funding schemes for Education To attract new users  Inherent complexities of grid systems  Rigid architectures for international compliances  Difficulties porting applications UnaGrid: Uniandes Opportunistic Grid

9. UnaGrid Desktop Grid and Volunteer Computing System  Customized Virtual Cluster (CVC) VirtualizationPriority management

10. Education in a S&C Engineering Dept Students need exposition to as many technologies as possible This exposure must be achieved in environments as real as possible Software Architecture Laboratory Customized Virtual Cluster Software Architecture Laboratory Customized Virtual Cluster Manufacture (2) Telco Bank University SAP Siebel Peoplesoft BES (RIM) Microsoft IBM Oracle OpenSource

11. GUMA: Grid Uniandes Management Application Two different users  System administrators Enable UnaGrid on specific computer labs Deploy CVCs on selected machines Manage UnaGrid users  Users (researchers) Create his/her environment (includes apps)  Virtual machines: 1 core / 1 GB RAM, NAS - NFS Start/Stop a CVC on the opportunistic infrastructure  Specifying time and resources needed  Very fast deployment & High utilization Transfer input & output data

13. UnaGrid/GUMA challenges Administration  Manual CVC deployment Difficult updates Manual IP assignment  Inexistent accountability Usage  Unfriendly interface SSH interface to master node Physical infrastructure awareness

14. Cloud to the rescue UnaGrid has interesting cloud features  Virtualization (VMWare campus agreement)  Customized environments  On demand deployment (Internet Web access)  Delegated administration (partial) But lack some other key characteristics  On demand configuration (self service)  Physical machines transparency  Accountability  Advanced administration tools  Complex cluster configuration Clouder Opportunistic cloud computing (IaaS) Clouder Opportunistic cloud computing (IaaS)

16. Projects to the cloud Traditional cluster based research projects (grid) Master/slave model Number crunching interactive projects Visualization Dynamic scenario projects Professor/Student offline dialog

17. Cluster based research projects Dedicated & opportunistic resources clouder

18. Interactive number crunching projects Data processing & storage clouder

19. Multiscenario projects Easy configuration Flexible deployment clouder

20. Thank you Questions?