Pay-per-Use Revenue Models for
Geoprocessing Services in the Cloud
                      •


  B. Baranski*, T. Deelmann a...
Agenda

   • Motivation
   • Requirements
   • System Design
   • Demonstration
   • Conclusion




B. Baranski   Pay-per-...
Motivation

   • Evolution of GIS
         • data- and desktop-centric GIS
         • emerging technologies (SOA, web serv...
Challenges

   • Quality of Service (QoS)
         • INSPIRE QoS requirements
   • Cloud Computing
         • general tren...
Goal

   • Design a system that
         • enables (OGC-) service providers to provide
           sustainable pay-per-use ...
Requirements

   • Payment Models
         • flatrate vs. pay-per-use
   • Contract Models
         • click-through licens...
Requirements

   • Publish-Find-Bind
         • additional agree phase (Publish-Find-Agree-Bind)
   • OGC Technical Baseli...
System Design

   • Policy-Based Management Architecture
   • OGC GeoDRM RM / OGC-Testbeds
              SOAP-wrapped OGC-...
Demonstration

   • Scenario 1: Pay-per-“Process-Execution“




B. Baranski   Pay-per-Use Revenue Models for Geoprocessing...
Demonstration

   • Scenario 2: Service Hosting




B. Baranski   Pay-per-Use Revenue Models for Geoprocessing Services in...
Conclusion

   • Design a system that
         • enables service providers to provide sustainable pay-
           per-use ...
Conclusion

   • Open Issues
         • Cloud Computing
            • interoperability
            • reliability
         ...
Thank you for your time!
          •




        Bastian Baranski
   bastian.baranski@uni-muenster.de
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Baranski

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Baranski

  1. 1. Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud • B. Baranski*, T. Deelmann and B. Schäffer Institute for Geoinformatics University of Münster, Germany
  2. 2. Agenda • Motivation • Requirements • System Design • Demonstration • Conclusion B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 2
  3. 3. Motivation • Evolution of GIS • data- and desktop-centric GIS • emerging technologies (SOA, web services) • Spatial Data Infrastructure (SDI) concept • Geoprocessing • OGC Web Processing Service (WPS) • proprietary and complex desktop-software • increasing amount of data and higher requirements on adopted algorithms B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 3
  4. 4. Challenges • Quality of Service (QoS) • INSPIRE QoS requirements • Cloud Computing • general trend in mainstream-IT • on-demand resource provisioning • pay-per-use revenue models • no up-front infrastructure investments  Emerging Business Models B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 4
  5. 5. Goal • Design a system that • enables (OGC-) service providers to provide sustainable pay-per-use business models • define usage costs per service request, service uptime, accessed resource, executed process, amount of processed data, etc. • enables (OGC-) service consumers to compare cost-benefit ratio of different service offerings  Applicable for all kind of (OGC-) services … but focus on Geoprocessing Services B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 5
  6. 6. Requirements • Payment Models • flatrate vs. pay-per-use • Contract Models • click-through licenses vs. long term contracts • Accounting Models • post-paid vs. pre-paid • Pricing Models B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 6
  7. 7. Requirements • Publish-Find-Bind • additional agree phase (Publish-Find-Agree-Bind) • OGC Technical Baseline • existing client and service implementations should remain unchanged • Security and Trust • authentication, authorization, confidentiality, integrity, non-repudiation, protection and privacy B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 7
  8. 8. System Design • Policy-Based Management Architecture • OGC GeoDRM RM / OGC-Testbeds SOAP-wrapped OGC-requests WS-Policy AWS-Java API SAML XACML B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 8
  9. 9. Demonstration • Scenario 1: Pay-per-“Process-Execution“ B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 9
  10. 10. Demonstration • Scenario 2: Service Hosting B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 10
  11. 11. Conclusion • Design a system that • enables service providers to provide sustainable pay- per-use business models • Enables service consumers to compare cost-benefit ratio of different service offerings • Impact on SDIs • technological shift vs. paradigm change • new business opportunities • for small companies (no up-front investments) • *real* Software as a Service (SaaS) Cloud Computing as enabling technologie! B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 11
  12. 12. Conclusion • Open Issues • Cloud Computing • interoperability • reliability • security • Business Models • software licenses B. Baranski Pay-per-Use Revenue Models for Geoprocessing Services in the Cloud 12
  13. 13. Thank you for your time! • Bastian Baranski bastian.baranski@uni-muenster.de

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