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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
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Lots of data,
lots of people, lots of compute, lots of uses, lots and lots and lots and lots...
9.
Trillionics
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A platform for
science
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12.
1
Get 2 Select 3 Work 4 Save
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1
Get 2 Select 3 Work 4 Save
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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
17.
Work = publications
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
35.
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
48.
A distributed mindset
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
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soft ware as
a service Open APIs
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Beyond SQL
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Accessibility
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East coast 24/7
Accessibility Dow n the co rridor West coast
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Reliability
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Build for flux
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Authentication
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Privacy
68.
Less software
69.
Distribute everything
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
84.
GREENISGOOD.CO.UK
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