8 Data Handling
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8.1 System Elements
- 8.1.1 Software Management
- 8.1.2 System Engineering
- 8.1.3 Development Environment
- 8.1.4 Analysis Framework
- 8.1.5 Database
- 8.1.6 Visualization
- 8.1.7 Development Interfaces
- 8.1.8 Integration at Pole
- 8.1.9 Hardware
- 8.1.10 Data Distribution
- 8.2 Offline Data Flow
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8.3 Data Model
- 8.3.1 High Multiplicity
- 8.3.2 Upgoing Tracks
- 8.3.3 Cascades/Taus
- 8.3.4 GRB Downgoing Muons
- 8.3.5 Icetop
- 8.3.6 Supernova
- 8.3.7 Prescaled Raw Data
- 8.3.8 Monitor
- 8.3.9 Calibration
- 8.3.10 Full-Sky Summary Histograms
- 8.3.11 Unfiltered Raw
- 8.4 Data Sample Organization
- 8.5 Latency
- 8.6 Schedule
- 8.7 Summary
The IceCube Data Handling software system, though far from trivial, can be constructed using existing software tools and methods, and it can be realized using existing commercial hardware. To fully design and implement a reliable and robust system in time to analyze the data from the first six IceCube strings will require a substantial software design effort which is best managed by professional software engineers with experience in large scale projects like IceCube.
