SSA Data Centers From Concept to Reality

Transcription

1 SSA Data Centers From Concept to Reality GSAW 2015, Los Angeles USA Vicente Navarro, European Space Agency (ESA) 03/03/ by European Space Agency. Published by The Aerospace Corporation with permission.

2 ESA s Space Situational Awareness Space Weather Near Earth Objects Space Surveillance and Tracking

3 User Community European Space Agencies ESA National Space Insurance Space Industry Air Traffic Control Search and Rescue Entities European Governments EU, EC National Regional Spacecraft Operators Commercial Academic Governmental Network Operations Telecommunications Energy Surveying Electrical Grid Power Supply United Nations Defence Civil Protection

4 Sensor Assets

5 Software Assets Space Surveillance and Tracking Near Earth Objects Space Weather

6 Operational Concept Sensors Tasking Centre Service Provision Layer SST Space Surveillance & Tracking Centre NEO Near Earth Objects Centre SWE Space Weather Centre User Community

7 System Engineering Approach Process Reference Architecture Engineering Environment People

8 Process Model-Driven Architecture (MDA) + Service Oriented Architecture (SOA) SOA Blueprint RSA BPEL JDeveloper Java EE

9 Reference Architecture Orchestrated Task Service Layer Collision Avoidance Task Service Layer SSIM SPS Req Entity Service Layer Orbit Sensor Catalogue Utility Service Layer File Shell Archive Monitoring Logging

10 Engineering Environment: Overview Req.Mgnt Project Mgnt Problem & Change Mgnt System Design Modelling Framework Soa Framework Templates Automated Testing Test Mgnt & QA src & doc Version Control Release Mngt Continuous Integration

11 Engineering Environment: Key Principles Service Candidate Forms Building Service Inventory Common Data Model enforcement through Modelling Tool SSA Development Guidelines Model-driven Definition of Interfaces and Data Types ICDs based on: WSDL and XSD Continuous Integration: Management of services, documentation and dependencies Code Generation from Model, fully integrated in Build Automation Deployment Plans for Provisioning

12 Evolution Path: Top Down Bottom Up Mission Requirements Evaluation Customer Requirements System Requirements Prototype Architectural Design Technology PoC Implementation Validation Gap Analysis

13 From Service Inventory 1.0 SMS Visualization Auth. Notification Utility Service Layer File Shell Archive Monitoring Logging

14 To Service Inventory 2.0 SWE Service 1 COSIF Service n NEO Service 1 SST Service 1 SWE Service 2 SST Service 2 COSIF File Shell Archive Monitoring Logging

15 Key Architectural Patterns Foundational Inventory Patterns Logical Inventory Layer Patterns Inventory Centralization Patterns Inventory Implementation Patterns Inventory Governance Patterns

16 Implementation I

17 Implementation II

18 Implementation III

19 Implementation IV

20 Results

21 Results: Business Process and Services

22 Results: Integration Modes Java-based Web-App/Service (same or other container, data center, ) Java-based Application W3C web service standard support BPEL (Business Process Execution Language) BPMN (Business Process Modelling Language)

23 Future work

24 Conclusions 1. Decomposition into BPs and Services at the start 2. Modelling Framework: good forward engineering 3. SOA Framework: steep learning curve, complex 4. BPEL: service granularity required fine tuning 5. Complex dependency management 6. Definition of a Common Data Model is quite a challenge 7. Extremely difficult to asses ROI 8. Engineers and Management Buy-in is critical 9. Evolutionary path for our systems

25 Acknowledgements ESA SSA s Core Team Detlef Koschny, Emmet Fletcher, Gian Maria Pinna, Juha-Pekka Luntama, Nicolas Bobrinsky, Serge Moulin ESA SSA s Support Team Alexej Luginin, Mehran Sarkarati, Norrie Wright SSA s Contractor Companies Hauke Ernst, Juan Pablo Arregui, Noelia Sanchez, Patrick Jacques, Pablo Beltrami, Ole Kverneland and many others

26 THANK YOU! sst.ssa.esa.int neo.ssa.esa.int swe.ssa.esa.int

27 Backups

28 Engineering Environment: CI

29 Engineering Environment: Monitoring