Rapid Real-Time Interdisciplinary Ocean Forecasting Using Adaptive Sampling and Adaptive Modeling and Legacy Codes: Component Encapsulation Using XML

Constantinos Evangelinos1, Robert Chang1, Pierre F.J. Lermusiaux2, Nicholas M. Patrikalakis1

1Massachusetts Institute of Technology, Cambridge, MA 02139, U.S.A.

2Harvard University, Cambridge, MA 02138, U.S.A.

Abstract. We present the high level architecture of a real-time interdisciplinary ocean forecasting system that employs adaptive elements in both modeling and sampling. We also discuss an important issue that arises in creating an integrated, web-accessible framework for such a system out of existing stand-alone components: transparent support for handling legacy binaries. Such binaries, that are most common in scientific applications, expect a standard input stream, maybe some command line options, a set of input files and generate a set of output files as well as standard output and error streams. Legacy applications of this form are encapsulated using XML. We present a method that uses XML documents to describe the parameters for executing a binary.

LNCS 2660, pp. 375-384.

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