Database Reference
In-Depth Information
Chapter 11
Analyzing Data Streams
in Scientific Applications
∗
Tore Risch,
1
Samuel Madden,
2
Hari Balakrishan,
2
Lewis Girod,
2
Ryan
Newton,
2
Milena Ivanova,
3
Erik Zeitler,
1
Johannes Gehrke,
4
Biswanath
Panda,
4
Mirek Riedewald
4
1
Uppsala University, Sweden
2
MIT
3
CWI, The Netherlands
4
Cornell University
Contents
11.1 Introduction
..........................................................
400
11.2 Stream Processing for Scientific Applications
.......................
401
11.2.1 Stream Processing Background
...............................
402
11.2.2 Scientific Applications
........................................
403
11.2.3 WaveScope
....................................................
405
11.2.3.1 The WaveScript Data Model
........................
406
11.2.4 The WaveScript Language
....................................
406
11.2.5 Distributed Processing
........................................
408
11.2.6 The WaveScope Runtime
.....................................
409
11.2.7 Conclusion
....................................................
409
11.3 Parallelizing High-Volume Scientific Stream Queries
................
410
11.3.1 Parallel Stream Queries through
Data Flow Distribution Templates
...........................
411
...................................
11.3.2 Stream Processes in SCSQ
414
11.4 Streaming Function Approximation
for Scientific Simulations
.............................................
417
11.4.1 Survey of Existing Projects
...................................
419
11.4.2 Technology Description
.......................................
419
11.4.2.1 Local Models
.........................................
420
11.4.2.2 The ISAT Algorithm
.................................
420
∗
Section 11.1 was authored by Tore Risch, 11.2 by Samuel Madden, Hari Balakrishan, Lewis
Girod, and Ryan Newton, 11.3 by Tore Risch, Milena Ivanova, and Erik Zeitler, and 11.4 by
Johannes Gehrke, Biswanath Panda, and Mirek Riedewald.
399
