Using Cloud Computing to operate a Spatial Data Infrastructure efficiently

2. Using Cloud Computing to operate aSpatial Data Infrastructure efficiently Hans ViehmannProduct Manager EMEA

3. NIST Definition of Cloud Computing Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Essential characterictics: On-demand self-service, Resource pooling, Rapid elasticity, Measured service, Broad network access

4. Spatial Data Infrastructure (SDI) • Distributed Web Services • Highly standardized • Unpredictable load requirements • eg. for INSPIRE – 727 services operational in Germany (May 2012) • Heterogeneous, distributed source systems • New requirements • Business specific: 3D data support, crowd sourcing, ... • Technical: data volumes, access rights, ... • Limited resources • Distributed Responsibility for Data Provisioning

5. Cloud Computing for SDIs • more efficient management of data and services by using a central hosted platform • Economy of scale • reduce CapEx by using hosted services • achieve elasticity to address variable load • reduce time-to-market through self-service and higher degree of automation

6. Running SDIs on a Cloud Infrastructure Operating Model Deployment Model Service Model Private Customer OwnsCustomer Operates Applications (SaaS) Customer Owns Provider Operates Public Platform (PaaS) Infrastructure Provider OwnsProvider Operates Hybrid (IaaS)

7. Customers Have a Choice of Clouds • Private, Public, Hybrid Exclusive Shared by multiple organizations Hybrid Cloud Private Cloud Public Cloud • Cloudbursting – overdraft for peak loads • Dev/Test & production • B2B integration • CapEx & OpEx • Lower total costs • Control & visibility • Multiple apps sharing resources • OpEx • Fast & inexpensive to start • Outsourced services • Multiple tenants sharing resources

8. Customers Have a Choice of Clouds • IaaS, PaaS, SaaS Different Users IT Professional Developer Business End User Customizations Customizations Customizations Consumer Application Application Consumer Platform SaaS Cloud Service Provider PaaS Cloud IaaS Cloud ServiceProvider

9. Flexible Adoption – Roadmap to Cloud Public Cloud Private Cloud Hybrid Cloud Consolidated Traditional Silos • Physical • Dedicated • Static • Heterogeneous • Disparate Spatial Data • Virtual • Shared platform • Dynamic • Standardized platform & infrastructure • Integrated Spatial Data • Specialized • Shared • Standardized • Federation across public & private clouds • Interoperability • Cloudbursting • Self-service • Auto-scaling • Metering & chargeback • Capacity planning Start with consolidation • Extend to private cloud • Use public cloud where appropriate

10. Consolidation at PaaS and IaaS Layers Consolidate onto standard, shared and elastically scalable PaaS App App App PaaS • Standardized PaaS for all applications reduces heterogeneity, cost and complexity • Accelerated new application development • Cost savings from less hardware, power and data center space App App App vs. App App App • Software stack heterogeneity, cost and complexity persists • No administration (O&M) cost savings Consolidate onto shared IaaS without standardization • Cost savings from less hardware, power and data center space IaaS

11. e1 f1 e3 n2 e2 f2 n1 e4 Consolidatation of data and Services • Required platform capabilities Database functionality such as • Spatial queries • Semantic queries • Versioning/Long Transactions SOA Plattform • Application Server • Service Bus/Orchestration WFS WMS WebGIS Srv. App PaaS CSW WCS OpenLS 3D, LIDAR Topology Network 2D (areas) 1D (lines) 0D (points) Geo-Raster

12. Exadata, Exalogic, SPARC SuperClusterExtreme Performance, Engineered Systems • Building blocks for consolidation and cloud computing • Unmatched performance, simplified deployment, lower total cost

13. Complete Cloud Lifecycle Management • 1. Plan & Setup the Cloud • Capacity & consolidation planning • Asset discovery • Bare-metal provisioning • Policy setup • 4. Meter, Charge, Optimize • Metering resource utilization • Chargeback/Showback • Optimize performance, capacity, QoS • 3. Manage & Monitor the Cloud • Auto-scaling • Full stack management • End-user, business-level, app monitoring • 2. Build, Test & Deploy Appson the Cloud • Packaging apps as assemblies • Testing applications • Self-service provisioning

14. Cloud Computing – Security Aspects Risk and Trust Management On-Demand Self-Service Identity and Access Management Security Governance Rapid Elasticity Broad Network Access Measured Service Auditing and Compliance Resource Pooling Secure Development Cloud ServiceModels Security Engineering Cloud DeploymentModels Cloud ManagementModels Security Operations Cloud InteractionModels Incident Response Cloud TrustModels IT Service Mgmt. Cloud Security Issues Traditional IT Security

15. Recommendations • develop a vision to move to cloud computing • save operational cost, improve time-to-market • start with file and database consolidation • reduce complexity, improve security & availability • consider engineered systems for consolidation • save operational cost, reduce deployment time, improve scalability • integrate geospatial data in all layers of the stack • simplify SW development, improve security & availability • use standards wherever possible • protect investments, improve interoperability

16. ITSO – IT Strategies from ORACLE • More best practices for Cloud Computing

17. Upcoming Events • Oracle Spatial and Graph Users Conference 2013 • Washington, DC, May 22 • in conjunction with Location Intelligence 2013, May 21 • new: attend by Webcast, „live“ or „on-demand“ • see http://www.locationintelligence.net/dc/registration/

19. Complete Stack Best-of-breed Open Vertical Integration Extreme Performance Engineered Systems Complete Customer Choice Oracle Strategy On-premise Private Cloud Public Cloud Hybrid Cloud