The document discusses the role of cloud computing in transforming local government, emphasizing the need for adaptability, efficiency, and security within public sector IT. It highlights the potential benefits and challenges of cloud technology, such as scalability and security, while advocating for open data and standards to improve transparency and service delivery. Additionally, it explores the importance of crowdsourcing and open-source solutions for enhancing collaboration and innovation in government services.

1. Cloud Computing to
transform
Local Government
Tim
Willoughby
LGCSB

2. Not all Clouds are good!

3. Drivers
The World has to be • SaaS, IaaS, PaaS, Web 2.0 / 3.0, Peer to Peer
on the Cloud • Addressing and Adapting change and to change
• Instantaneous, Online Response from Inter-continental companies
The World is Flat • Digital Supply Chain across Global companies / across the globe
• Environmental Compliance
The world is green • Reduce your own and your companies Carbon Footprint
• Consumers and Workforce - always on - connected anywhere
The World is Mobile • Increased demand and expectation for services
The World of Low • Energy and Cost Efficient Computing and Data Centres
Cost ICT • Flatter Budgets require Efficiencies CAPX and OPEX

5. Security is changing
• Security has to be appropriate
• Security has to be measured
• Can have things so secure that they are
unusable.

6. Cloud / Open is forcing Change
With or Without the Owners / Shareholders

8. So far ICT has not fundamentally
changed government
• 1990s: lCT expected
to make government
more
transparent, efficient
and user oriented
• 2005+: disillusion as
bureaucracy still in
existence
• Can Cloud Help?
Jane E. Fountain – Gov 1.0 – Just Replicating the Silos on the Internet

9. Goverment dont always Understand
What the people Want?

10. What governments often Deliver

11. why is crowd sourcing important?
Crowd Source –
Group Collaboration is
more powerful than
individual achievement
1

12. Typical Individual effort
many hours, one map 2

13. OpenStreetMap, 2011
200,000 contributors, one map 3

14. why is open source important?
"Given enough eyeballs, all
bugs are shallow."
- Eric S.
Raymond, co-
founder of the Open Source
Initiative
7

15. why is open source important?
free speech

16. why is open source important?
“Think free as in free
speech, not free beer.”
- Richard Stallman, founder
of the Free Software
Foundation
10

17. who uses open source?
90% of supercomputers
60% of internet servers
30% of smart phones
11

18. What is Cloud?
DON’T WORRY, TRUST US, WE HAVE IT ALL UNDER
CONTROL

19. What has Cloud ever done for us?
Apart from Scale, Speed, Agility, Low Cost,
Enterprise Mapping, Open Data, Standards, Google, API’s,
Open Street Maps, Map Servers,
GIS - More than just Location, Spatial Analysis and wider adoption now possible
19

20. Cloud Policy…
• The only way is not
to play?

21. Mashup

22. Why this is so compelling:
It’s a disruptive technology
• Does it meet
enterprise needs
• Easy to control
• SLA / Support
• Good enough for
startups and SME
• “Cheap” compute
• Pilot and trial…
Source: upcoming research, Cloud Computing: Not Ready For The Enterprise...Yet.

24. In how many years…

25. Cloud Computing Challenges
1) Scalability
2) Availability End User
3) Maintenance
4) Cost 5) Security

26. Mind the Gap…
Technology
Stuff
Our Stuff

27. G Cloud – UK…
• Distributed Cloud
• Work like a Network
• Everyone
• Can See
• Can Play
• Can Add Value (Within
Limits)
• Shared Data Centres
• App Store
• Issues –
• Support
• Code Base
• Open Source Push
• My View – 3 Models
• Car Boot Sale
• Charity Shop
• Department Store

29. Smart Cities
Gartner: “networked sensors in everything we own will form a
new Web (the Internet of Things). But it will only be of value if
the ‘terabyte torrent’ of data it generates could be
collected, analysed and interpreted”
… and .. just because we can….

30. Smart Local Government?

31. The Data Underworld
 Massive network of services: water, sewage, drains …
 Need to know asset location for planning and maintenance
 Many databases, varying accuracy and provenance
 Context
 Ongoing street openings p.a.
 Safety!

33. Or Wizards
GIS is now
Mainstream

34. Still need Common Sense

35. Open Data
• Smart City – Living Lab – Access to “all” the
data captured
• Linked Open Data
• Open Data Formats
• Standards

36. The Currency of your data
• Automating Change
Management
• Information where and when it
is required
• Flexible digital delivery
• Data Accuracy Improvement
• Do you trust your Data enough
to share it?

37. Data Standards
• Cannot Adopt Standards from software
Suppliers.
• Have to move away from this position!
• Need Open Standards
• Standards for Everything, even the Location of
Public Toilets…

38. Architecture Model for Open Data
Five level saturation model by Tim Berners-Lee
★ Available on the web (whatever format), but with an
open licence
★★ Available as machine-readable structured data (e.g.
excel instead of image scan of a table)
★★★ as (2) plus non-proprietary format (e.g. CSV
instead of excel)
★★★★ All the above plus, Use open standards from
W3C (RDF and SPARQL) to identify things, so that people
can point at your stuff
★★★★★ All the above, plus: Link your data to other
people’s data to provide context

39. LOD - Pages with Intelligence

40. open source / open data
the fix your street model

41. incorporating mobile apps

42. Apps, Apps, Apps

43. from: physical, the (qr code), online
source, & augmented reality

44. Social and Multi Media
Responding through innovation

45. Local Authorities Housing

47. What have we done so far…
• Virtualisation savings
– Over 750 servers virtualised in sector
– Savings of over €7.50m over five-year period
– Further savings through licence consolidation may
be possible
• Government Networks
– Shared data network for public sector
– Huge Savings for LG sector

48. What do Clouds currently not do?
• Anything subject to compliancy
– Includes PCI-compliant applications
• Apps that call back to performance sensitive
services in your data centre
• Apps that require tight coupling between
instances
• Sensitive Data
• Large applications that don’t fit inside VMs

49. Cloud conclusions
• Government cannot ignore cloud
• Public Cloud and Big Data
• Public Cloud and Open Data
• SLA needs to be more Open
• Future is Cloudy