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KITE

KITE. A down to earth approach to cloud computing. Marco Konijnenburg SIG SE @ Nikhef 14 november 2013. Contents. Context Predecessor Goals Design. Processing large datasets. Datasets are over 10 GB in size Collection of thousands of spectra

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KITE

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  1. KITE A down to earth approach to cloud computing Marco Konijnenburg SIG SE @ Nikhef 14 november 2013

  2. Contents • Context • Predecessor • Goals • Design

  3. Processing large datasets • Datasets are over 10 GB in size • Collection of thousands of spectra • Each spectrum can be processed individually

  4. Compute • Use general purpose compute clusters • Use dedicated compute cluster • Splittable compute jobs

  5. Cloud • HPC –Cloud Calligo @ SARA • Open Nebula implementation • Configurable systems • Mix various systems (like different OS-es) • Start and stop systems at will • Using VM’s

  6. COMMIT

  7. Job submission application • Connect to headnode • Specify script , data and storage for MS processing • Specify number of tokens (job parts) • Submit job • Receive email of job status • View progress

  8. Cloud UI

  9. Improve • Easier interface for non computer scientists • Start and stop preconfigured group of VM’s • Interface from desktop app to web app • Multi platform • Always up to date • Needs a login to remember user settings

  10. Overview

  11. Kite log in • Use existing techniques • Browser login, SSO • Using Shibboleth to connect to SURFConext

  12. KRON • Kite relay for Open Nebula • Only command and data passing • Reports to Kite when (re)started

  13. KRON

  14. KRON (expanded)

  15. Communication

  16. Issues & Wishes • XML RPC requires extra log in, not SURFConext’ed • Within one group VM’s ‘see’ each other • Data in and out • Scale it up to multiple clouds, possibly multiple types • Scale it up to users from other institutes

  17. The end Thank you for your attention • Contact: • m.konijnenburg@amolf.nl • marco.konijnenburg • http://www.linkedin.com/in/marcokonijnenburg

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