The software architecture of a distributed problem‐solving environment

Walker, David W.; Li, Maozhen; Rana, Omer F.; Shields, Matt; Huang, Yan

doi:10.1002/1096-9128(20001225)12:15<1455::aid-cpe538>3.0.co;2-#

Cited by 56 publications

(26 citation statements)

References 29 publications

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“…It provides an infrastructure for distributed resource management, and services for the management of experiments with computational steering, monitoring and dynamic system behavior. A Generic Problem-Solving Environment [13] is building a generic infrastructure to implement PSEs for distinct application domains. It relies on an infrastructure for distributed computing and it offers an intermediate layer with a set of generic services for the specification of components and for abstract resource management.…”

Section: Main Dimensions In Pse Developmentmentioning

confidence: 99%

Future Generations of Problem—Solving Environments

Cunha

2001

IFIP Advances in Information and Communication Technology

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This paper discusses several dimensions involved in the design and implementation of future generations of Problem-Solving Environments (PSEs). The paper surveys the main requirements posed both by end users and by system developers. The main issues on the development of future generation of PSEs are identified. A case study is then discussed which relates to an ongoing project in the author's institution. This research concerns the study of component coordination in a dynamic PSE and how this issue may influence the design of the architecture of a generic PSE.Keywords: Problem-solving environments, coordination. 1. PROBLEM-SOLVING ENVIRONMENTSA Problem-Solving Environment (PSE) aims at helping an end-user in the specification and solution of a problem in terms of concepts specific to the problem domain. It should allow the development of rapid prototypes to ease the experimentation with specific solutions and allow the user to learn from experience. Several recent technologies are enabling to develop more fully integrated environments, ranging from parallel and distributed computing, component based systems, advanced interactive visualization, intelligent knowledge processing and discovery, to largescale distributed computing. The awareness to these issues has been emerging in multiple projects all over the world [5,6].A PSE is an integrated environment supporting an entire life cycle of development and execution steps to solve problems in a specific application domain. The development steps help the user in producing a ·Thanks to the Portuguese CIENCIA, FCT/MCT, the CITI, and the PRAXIS SETNAParComp {2/2

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Section: Main Dimensions In Pse Developmentmentioning

confidence: 99%

Future Generations of Problem—Solving Environments

Cunha

2001

IFIP Advances in Information and Communication Technology

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“…We provide support for handling "conditionals" and "iterators" within the data flow approach, in addition to hierarchy to compose "compound" components. Additional details of these can be found in [7]. Wrapping legacy codes as components within a PSE is a nontrivial undertaking, particular when making use of CORBA and Java based implementations.…”

Section: Discussionmentioning

confidence: 99%

A Collaborative Code Development Environment for Computational Electro-Magnetics

Shields

Rana

Walker

et al. 2001

IFIP Advances in Information and Communication Technology

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A Problem Solving Environment (PSE) is a complete, integrated computing environment for composing, compiling and running applications in a specific problem area or domain. We describe a visual code development tool within a PSE, which enables computational scientists to construct applications by connecting components. The granularity of each component can vary from being a complete code, to a mathematical routine such as a matrix or PDE solver. We first outline the requirements of such an environment, illustrating these with our implementation. The implementation of a computational electro-magnetic solver is then described using this code development tool, based on a 2D boundary element code. We emphasise lessons learned, and the importance of using such an environment to support new application development.

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“…This requires some modifications of legacy software within an architecture so as to adapt the components for reading and writing XML interfaces. Walker et al [18,19] illustrate the software architecture of a problem solving environment (PSE) used for the construction of scientific applications from software components. Users visually construct domain-specific applications using a Java/CORBA-based PSE for scientific simulations and computations.…”

Section: Legacy Codesmentioning

confidence: 99%

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

Evangelinos

Chang

Lermusiaux

et al. 2003

Lecture Notes in Computer Science

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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.

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The software architecture of a distributed problem‐solving environment

Cited by 56 publications

References 29 publications

Future Generations of Problem—Solving Environments

Future Generations of Problem—Solving Environments

A Collaborative Code Development Environment for Computational Electro-Magnetics

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

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