1. Quoting and Billing: Commercialization of Big Data Analytics
Dr. Ingo Simonis
BIDS’19, February 2019

2. Voluntary consensus standards organization
25th Anniversary
International
Research & Development

3. Product Implementations
Prototype
Implementations
Requirements
OGC
Software
Architecture
Innovation
Program
Guides &
Tools
Gaps and
Enhancements
Engineering
Reports
Requirements
Requirements
Communications
& Outreach
Standards
Program
Adopted Standards
Compliance Program
Product Implementations
Requirements 5

5. EO Applications in the Cloud: Challenge
More and more applications are cloud-enabled. They are being deployed and executed close to the physical location of the data. In Testbed-13, we developed an architecture that allows an application developer to develop an application that contained al the information to run in a wokrflow. This is, packing it into a Docker container, create metadata with all necessary information to run the container (e.g. inputs, parameters). The application package could be registered with a WPS service. Application consumers can find the application on that server and subsequently execute the workflow.
In Testbed-14, the challenge was how to register not one application but a workflow composed of various applications. In addition, moving away from the local machine into the cloud has the risk for the user that requested data processing causes enormous costs. Therefore, we needed a model that allows the application consumer to understand what a planned execution would cost.

6. EO Applications in the Cloud
More and more applications are cloud-enabled. They are being deployed and executed close to the physical location of the data. In Testbed-13, we developed an architecture that allows an application developer to develop an application that contained al the information to run in a wokrflow. This is, packing it into a Docker container, create metadata with all necessary information to run the container (e.g. inputs, parameters). The application package could be registered with a WPS service. Application consumers can find the application on that server and subsequently execute the workflow.
In Testbed-14, the challenge was how to register not one application but a workflow composed of various applications. In addition, moving away from the local machine into the cloud has the risk for the user that requested data processing causes enormous costs. Therefore, we needed a model that allows the application consumer to understand what a planned execution would cost.

7. EO Applications in the Cloud: Challenge
More and more applications are cloud-enabled. They are being deployed and executed close to the physical location of the data. In Testbed-13, we developed an architecture that allows an application developer to develop an application that contained al the information to run in a wokrflow. This is, packing it into a Docker container, create metadata with all necessary information to run the container (e.g. inputs, parameters). The application package could be registered with a WPS service. Application consumers can find the application on that server and subsequently execute the workflow.
In Testbed-14, the challenge was how to register not one application but a workflow composed of various applications. In addition, moving away from the local machine into the cloud has the risk for the user that requested data processing causes enormous costs. Therefore, we needed a model that allows the application consumer to understand what a planned execution would cost.

8. Application
consumer

9. Application
consumer

10. Application
consumer
Application
developer

11. Application
consumer
Application
developer

16. Computing cycles
Storage capacity
Value added services

18. Problem: complex ecosystem
Platform: X platforms, Y implementers
Infrastructure:
Z suppliers
App developer s
Develop once
Benefit from X * Y * Z explosion
Not care about details

19. Building Blocks: AP, ADES, EMS
Workflows integrated
Quoting and Billing API & Model
Implemented & Tested

21. Discovery of Apps
Apps and their applicable data
Integration with deployed processes

22. Next Steps Maturity Testing Real data Real services Real processes
Real quoting and billing