Behind the buzz of Cloud Computing - 52°North Open Source Geoprocessing Software in the Clouds

1. Behind the buzz of Cloud Computing - 52°North Open Source Geoprocessing Software in the Clouds FOSS4G 2009 Bastian Schäffer, 52°North

3. Agenda • Cloud Computing 101 • WPS 101 • WPS in the Clouds

4. Cloud Computing 101

5. Definition • Emerging trend in mainstream IT • Cloud as a metaphor to represent large networks and infrastructures • Store data, run applications and compute on distributed (3rd party) facilities • Paradigm behind buzzword!?!

6. Characteristics • Efficiency  Resource Pooling • Outtasking • On-demand • Scalability • Cost

7. Mass market

8. Mass market

9. Mass market

10. Legally Binding Performance • INSPIRE • Search Queries • Maximum 3 sec response time* • Handle 30 parallel requests per second • Image Download • Maximum 5 sec response time* • Handle 20 parallel requests per second • Overall 99% service availability (362 days/year uptime) * During normal traffic (90% of uptime).

11. Characteristics • Efficiency  Resource Pooling • Outtasking • On-demand • Scalability • Cost

13. Architecture SaaS dSaaS PaaS IaaS

14. Technology • Hardware Cluster • Virtualization • Grid Computing • Application Framework (Hadoop) • etc.

15. Cloud Types

16. Providers • Amazon Web Services • Google Apps Engine • ….

17. Amazon Web Services • Small Instance • The small instance (default) equates to "a system with 1.7 GB of memory, 1 EC2 Compute Unit (1 virtual core with 1 EC2 Compute Unit), 160 GB of instance storage, 32-bit platform" • Large Instance • The large instance represents "a system with 7.5 GB of memory, 4 EC2 Compute Units (2 virtual cores with 2 EC2 Compute Units each), 850 GB of instance storage, 64-bit platform". • Extra Large Instance • The extra large instance offers the "equivalent of a system with 15 GB of memory, 8 EC2 Compute Units (4 virtual cores with 2 EC2 Compute Units each), 1690 GB of instance storage, 64-bit platform." • High-CPU Instance • Instances of this family have proportionally more CPU resources than memory (RAM) and address compute-intensive applications.

20. Cloud Watch • Auto Scaling • CPUUtilization • NetworkIn • NetworkOut • DiskWriteOps • DiskReadBytes • DiskReadOps • DiskWriteBytes • RequestCount • HealthyHostCount • UnHealthyHostCount • Elastic Cloud Balancing

21. Costs

22. Google Apps Engine

23. Google Apps Engine • Easy to manage • Java or Python • Several restrictions • BigTable vs. RDBMS

24. Costs

25. Costs

26. WPS 101 – What is WPS about?

27. Introduction OGC Web Services SOS

28. Introduction OGC Web Services SOS WMS

29. Introduction OGC Web Services SOS WMS WFS

30. Introduction OGC Web Services SOS WMS WCS WFS

31. Introduction OGC Web Services CSW SOS WMS WCS WFS

32. SDI Integration • Processing

33. SDI Integration • Processing

34. SDI Integration • Processing

35. SDI Integration • Processing

36. Introduction OGC Web Services CSW SOS WMS WCS WFS

37. SDI Integration • Computational Power • Network Bandwidth

38. SDI Integration • Computational Power • Network Bandwidth  serverside processing

39. SDI Integration • Processing

40. SDI Integration • Processing Service

41. SDI Integration • Processing Service • Standardized Interface • unified access • Deploy-once-use-everywhere

42. SDI Building Blocks

43. Introduction OGC Web Services CSW SOS WMS WCS WFS

44. Introduction OGC Web Services CSW SOS WPS WMS WCS WFS

45. Introduction WPS -Introduction

46. WPS 101 • What is a WPS? Web Based Processing WPS WPS

47. WPS • WPS WPS Process 1 Process 2 Process n

48. WPS • WPS WPS GetCapabilities Process 1 Process 2 Process n

49. WPS • WPS WPS GetCapabilities Process 1 DescribeProcess Process 2 Process n

50. WPS • WPS WPS GetCapabilities Process 1 DescribeProcess Process 2 Process n Execute