1. Cloud computing:
highlights
Luís Bastião - bastiao@ua.pt

2. Outlines
 Cloud computing: natural evolution
 Stack
 Deployment models
 Services
 Blobstore/Datastore
 Databases
 Notification Systems
 Frameworks
 Google AppEngine
 PubNub
 Jclouds
 AWS
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3. Overview
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4. Computing paradigm
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5. Computing paradigm
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6. Cloud computing: definition
 “Cloud computing has the potential to create irreversible
changes in how computers are used around the world”
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7. Cloud computing: definition
 “Cloud computing technology’s objective is to move any
application stored on a computer to a remote
location, eliminating all the standard components, including
operating systems and hard drives, which are necessary in
today’s computers and make them accessible online through
a standard browser.”
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8. Clod computing: definition
Resources as a Commodity
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9. Anywhere and anytime
http://cloudcomputingcompaniesnow.com/
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10. 1) No capital expenditures
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11. 2) Pay only what you need
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12. 3) Elastic capacity
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13. 4) Focus on development
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14. 5) No need to maintain infrastructure
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15. 6) Redundancy
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16. 7) Design for failure
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17. Deployment models
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18. Increase efficiently
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19. Increase efficiently
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20. Increase efficiently
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21. Increase efficiently
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22. Increase efficiently
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23. Cloud computing providers
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24. So..? Leave it to the experts.
… who have a lot of money to spend to build
large datacenters in different locations of the
globe.
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25. Benefits/Challenges
 Reduce IT infrastructure on the organizations side
 Reduce the maintenance of datacenter
 Reduce the costs
 Energy, air condition
 Licenses
 Access applications and data “anytime, anywhere”
x Ensure privacy and confidentiality
x Interoperability with existents protocols
x Portability
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26. Services
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27. What fits in the cloud services?
 Elastic capacity: applications to scale
 SOA applications: all of them use mainly web services to
communicate
 Access anytime and anywhere
 High parallelized workflows
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28. Cloud computing stack
Software as a service
(Finished application: for sales and it
customizable)
Plataform as a service
(Developer plataform that abstracts the
infrastructure OS)
Infrastructure as a service
(Abstract real infrastructure)
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29. Infrastructure-as-a-Service
 Adding “servers” in a click
 Run it in just a few minutes, not days
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30. Infrastructure-as-a-Service
 Create Virtual Machines on demand
 Snapshots
 Start/Stop machines
 Automatically scale
 Pay only the resources that the machine are using
 There is an API, you can management the infrastructure
programming or invoking web services
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31. Infrastructure-as-a-Service - Hybrid
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32. High Level: Platform-as-a-Service
 Platform-as-a-Service (PaaS)
 Storage-as-a-Service
 Database-as-a-Service
 Notification-as-a-Service
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33. Storage-as-a-Service
 Blobstore: upload blobs/data objects to the cloud
 Based on Key, Value concept
 Each blobstore can contain several containers/buckets.
 They have a Key and the value is a binary blob. The developer
can store information
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34. Storage-as-a-Service
 Providers:
 Dropbox API
 S3
 Google Storage
 Azure Storage
 Box.net
 Rackspace Store
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35. Databases – Columnar Data
 Flexible and mutable tables
 Key/Value structure
 Providers:
 Datastore Google AppEngine
 Azure Table
 SimpleDB – AWS
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36. Notification systems
 Asynchronous message queue
 HTTP protocol
 Publish/Subscribe pattern
 Examples:
 Channel API
 PubNub
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37. Frameworks/SDKs
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38. Google AppEngine: What is it?
 Platform-as-a-Service
 Languages: Java and Python
 Create Web Applications
 Free (to start with)
 www.appspot.com

39. Google AppEngine: services
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40. Google AppEngine: Dashboard
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41. Google AppEngine: Dashboard
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42. Google AppEngine: Datastore
 “Bigtable is a distributed storage system for managing
structured data that is designed to scale to a very large size:
petabytes of data across thousands of commodity servers.
Many projects at Google store data in Bigtable, including web
indexing, Google Earth, and Google Finance”
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43. Requires a new way of thinking
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44. Google AppEngine: Channel API
 Channel API: notification and collaborative environment
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45. PubNub
 Free service to do notification in real time
 Accessible via Web Services
 Easy to use for collaborative systems
 Check it out: http://www.pubnub.com/console
 Free alternatives to deploy locally:
 http://www.ape-project.org/
 XMPP/Smack
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46. PubNub
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47. Multi cloud frameworks
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48. Jclouds: Multi cloud library
 Services:
 Computing Service
 Blobstore service
 Language: Java
 Supports several cloud providers for Computing Utility and
Storage
 Jclouds.org/github

49. Jclouds - blobstore
BlobStoreContext context = new BlobStoreContextFactory().createContext("aws-
s3", identity, credential);
BlobMap map = context.createBlobMap(”food");
Blob blob = map.blobBuilder("sushi.jpg")
.payload(new File("sushi.jpg"))// or byte[]. InputStream, etc.
.contentDisposition("attachment; filename=sushi.jpg")
.contentType("image/jpeg")
.calculateMD5().build();
map.put(blob.getName(), blob);
context.close();
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50. Other services
 Computing services: launch machines on demand.
 Allocate processing and memory
 Grow dynamically
 Pay what you use
 Networking
 Payments
 Workflow
 … and many others.
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51. What to do next?
 Keywords: Google AppEngine, AWS S3, Dropbox API, Cloud
API
 Google AppEngine – SDK (PaaS)
 Dropbox API – Storage
 Google API – Services
 Install your own services (testing)
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52. References
 http://blog.zenoss.com/2011/08/top-10-presentations-on-cloud-
computing/
 http://www.slideshare.net/jaapgorjup/cloud-computing-intro-slides
 http://www.slideshare.net/simon/ive-probably-been-using-google-
app-engine-for-a-week-longer-than-you-have
 http://www.appspot.com
 http://www.pubnub.com
 http://aws.amazon.com
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53. Thanks for your
attention!
bastiao@ua.pt
twitter.com/luisbastiao
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