Into The Wonderful
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An introduction to cloud computing from a scientific research perspective.
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Into The Wonderful
- 1. Into the Wonderful Towards a Virtual Institute
- 2. you are here
- 3. Data
- 4. Lots of data
- 5. Lots of data, lots of people
- 6. Lots of data, lots of people, lots of compute
- 7. Lots of data, lots of people, lots of compute, lots of uses
- 8. Lots of data, lots of people, lots of compute, lots of uses, lots and lots and lots and lots...
- 9. Trillionics
- 10. A platform for science
- 12. 1 Get 2 Select 3 Work 4 Save
- 13. 1 Get 2 Select 3 Work 4 Save
- 14. 1 Get 2 Select 3 Work 4 Save
- 15. 1 Get 2 Select 3 Work 4 Save
- 16. Work is the killer app get here quickly
- 18. Problematic for complex data
- 19. 1 Get 2 Select 3 Work 4 Save
- 20. 1 Get: flat files / databases 2 Select 3 Work 4 Save
- 21. 1 Get: flat files / databases 2 Select: scripts / directories 3 Work 4 Save
- 22. 1 Get: flat files / databases 2 Select: scripts / directories 3 Work: interesting 4 Save
- 23. 1 Get: flat files / databases 2 Select: scripts / directories 3 Work: interesting 4 Save: flat files / databases
- 24. Get Filter Work Save
- 25. Get Filter Work Save
- 26. Get Filter Work Save
- 27. Get Filter Work Save
- 28. Get Filter Work Save
- 29. Get Filter Work Save
- 30. Get Filter Work Save
- 31. Get Filter Work Save
- 32. Filter Save Get Work Get Filter Work Save
- 33. Filter Save Work Get Get Work Get Filter Work Save
- 34. Filter Save Work Get Get Work Get Filter Work Save
- 36. Virtualise
- 37. Get Save
- 38. Data platform Get Save
- 39. Data platform Get Save Work
- 40. Data platform Get Save Work App platform
- 41. Data accessible via services
- 42. Applications accessible via services
- 43. Data platform Get / Save Work Projects / SNP calling App platform
- 44. Distribute
- 45. Data platform Hintxon Get / Save San Diego Work App platform
- 46. Distributed storage Virtualised services Application programming interfaces Getters Filters Savers Work
- 47. Distributed storage Virtualised services Application programming interfaces Getters Filters Savers Work Work Work Work Work Work Work Work Work Work Work Work Work Work Work Work Work
- 49. map/reduce
- 50. 1. map
- 51. @a = [ 1, 2, 3 ] @result = [] for each $value in @a push @result, map($value) end sub map($incoming) return ($incoming * 10) end
- 52. 2. reduce
- 53. reduce(@result) sub reduce($r) <transform $r> end
- 54. independent
- 55. of array size! independent
- 56. of array size! independent of ea ch other!
- 57. independent distribute across virtual machines!
- 58. Prerequisites
- 59. Open data easy to get a t data
- 60. soft ware as a service Open APIs
- 61. Beyond SQL
- 62. Accessibility
- 63. East coast 24/7 Accessibility Dow n the co rridor West coast
- 64. Reliability
- 65. Build for flux
- 66. Authentication
- 67. Privacy
- 68. Less software
- 70. Replicate everything Speed. Redundancy.
- 71. Will it scale?
- 72. Oh yes
- 73. New York Times
- 74. 11 million TIFs
- 75. 24 hours $500
- 76. Google, Yahoo! Amazon
- 77. We are here
- 78. We need to start now
- 79. 2 X
- 80. 150 Tb/week
- 81. We need to start now as in, like, ye sterday
- 82. Petabyte journal club foomongers.org.uk
- 83. Thank you