Cloud Computing. RISC Software GmbH Ein Unternehmen der Johannes Kepler Universität Linz. practically defined. July 2011, Málaga Michael Krieger

Transcription

1 Cloud Computing practically defined July 2011, Málaga Michael Krieger RISC Software GmbH Ein Unternehmen der Johannes Kepler Universität Linz

2 Overview Introduction RISC Software GmbH Hagenberg Cloud Computing Association Cloud Computing defined Practical Examples from RISC Software GmbH Adaptive Weather System GDP-EDI Summary July 2011 Cloud Computing 2

3 Introduction 3

4 General Information Ownership of RISC So1ware GmbH 80% Johannes Kepler University Linz 20% Upper Austrian Government (UAR GmbH) RISC So1ware GmbH SoCware Development Applied Research 40 employees Basic Research RISC Ins9tute Area: Symbolic ComputaKon Chairman: Prof. Dr. Peter Paule 60 members 4

5 Going back in time

6 After the renovation

7 Softwarepark Hagenberg Employees students (from more than 25 na.ons at the RISC Ins.tute) m² office spaces m² for University of Applied Sciences Hagenberg 600 students rooms (550 OÖ Studentenwerk, 50 Manro) 7

8 Research Areas Algebraic Geometry Algorithm Theory Algorithmic Combinatorics Computer Algebra Formal Methods Parallel/Distributed Computing Theorema July 2011 Cloud Computing 8

9 Business Areas Logistic Informatics Supply chain optimisation Transportation scheduling and production planning Discrete simulation Applied Scientific Computing Numeric and symbolic computation Computational geometry and visualisation Medical Informatics 3D reconstruction of MR and CT data Biomechanical modelling Advanced Computing Technologies Grid Computing Cloud Computing Emerging Technologies July 2011 Cloud Computing 9

10 Hagenberg Cloud Computing Association founded in October 2011 founding members: Softwarepark Hagenberg IBM RISC Software GmbH FAW GmbH Software Competence Centre Hagenberg Quanmax AG SecureGuard GmbH CloudGuard GmbH currently about 25 members July 2011 Cloud Computing 10

11 Hagenberg Cloud Computing Association Mission: HCCA is the most attractive association covering the whole innovation chain in cloud computing: Research Education Implementation July 2011 Cloud Computing 11

12 Cloud Computing 12

13 Cloud Computing defined Essential characteristics On-demand self-service Broad network access Resource pooling Rapid elasticity Measured service as defined by NIST; source July 2011 Cloud Computing 13

14 Cloud Computing defined Service models Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS) as defined by NIST; source July 2011 Cloud Computing 14

15 Cloud Computing defined Deployment models Private Cloud Community Cloud Public Cloud Hybrid Cloud as defined by NIST; source July 2011 Cloud Computing 15

16 Examples from RISC Software GmbH 16

17 Adaptive Weather System Base System for: Mobile Weather Forecast Systems in Austria Orange Drei (Hutchinson)... Newspapers Radio... July 2011 Cloud Computing 17

18 Adaptive Weather System requirements: data: about 1.5 Mio. forecast points per hour about requests per hour system: scalable minimal hardware low- to no-cost software July 2011 Cloud Computing 18

19 User Interfaces 19

20 HBase / Hadoop Hadoop supports reliable, scalable distributed processing of large datasets Hadoop offers a distributed, fault-tolerant file system (HDFS) on top of clusters of commodity hardware HBase is a database built on top of HDFS Similar to Google Bigtable 20

21 HBase Data is organised in tables Each row has a unique key Columns are organised in families Each cell contains multiple versions with different timestamps Accesses have to specify the row key or scan over the whole table Accessed through a Java - API loc 0 loc 1... t0 t1 data temp rain wind t2 t3 21

22 Hardware Configuration - Current Gateway Web Server 1 Web Server 2 Hadoop Head node compute-0-0 compute-0-1 compute

23 Weather Models INCA 1 km step size 6 12 hours ahead 1 hour time steps ALADIN 3 km step size 48 hours ahead 1 hour time steps BIG ALADIN 7.5 km step size 72 hours ahead 1 hour time steps ECMWF 110 km step size Northern hemisphere longitude 8 days ahead 6 hours time steps 23

24 Data Export Inca Height-map 24

25 Performance Importers Legacy System New System INCA 1 time step / > 60 min 12 time steps / 15 min ALADIN 30 min 4 min BIG_ALADIN 90 min 12 min Bulk Exporters Daily (3053 Loc.) Hourly (3053 Loc.) Daily (11610 Loc.) Hourly (11610 Loc.) Legacy System 90 min 20 min New System 10 min 5 min 25

26 GDP-EDI Austrian Start-Up Company delivers document conversion electronic data interchange for business data requirements scalability response time (according to SLAs) July 2011 Cloud Computing 26

27 GDP-EDI System Architecture July 2011 Cloud Computing 27

28 GDP-EDI Load distribution per day July 2011 Cloud Computing 28

29 GDP-EDI Load distribution per week July 2011 Cloud Computing 29

30 GDP-EDI 27 % % 2 % 2 % 3 3 % 9 % 5 % 5 % 5 6 % %6 % 14 % % % % 3 % 2 % 4 18 % 5 % 3 % 9 % 6 % 8 % 2 % number of requests per user time spent per user July 2011 Cloud Computing 30

31 GDP-EDI current tasks build private cloud improve accounting per user future tasks elastic scalability performance improvements reduce complexity July 2011 Cloud Computing 31

32 Summary 32

33 Pros and Cons Pros Cons Public Cloud Public Cloud infrastructure (almost) no setup location of data laws Community Cloud lower cost shared infrastructure Community Cloud shared infrastructure everyone has to care Private Cloud data and system are in-house legal system Private Cloud costs setup/administration July 2011 Cloud Computing 33

34 What kind of data do you have? 34

35 What kind of processes do you have? 35

36 What are your requirements? 36

37 What kind of infrastructure do you need? 37

38 Thank you! 38