Research Article

GAUGE: Grid Automation and Generative Environment†

  1. Francisco Hernández*,
  2. Purushotham Bangalore,
  3. Jeff Gray,
  4. Zhijie Guan,
  5. Kevin Reilly

Article first published online: 13 DEC 2005

DOI: 10.1002/cpe.991

Issue

Concurrency and Computation: Practice and Experience

Concurrency and Computation: Practice and Experience

Special Issue: Workflow in Grid Systems

Volume 18, Issue 10, pages 1293–1316, 25 August 2006

Additional Information

How to Cite

Hernández, F., Bangalore, P., Gray, J., Guan, Z. and Reilly, K. (2006), GAUGE: Grid Automation and Generative Environment. Concurrency and Computation: Practice and Experience, 18: 1293–1316. doi: 10.1002/cpe.991

Author Information

  1. Department of Computer and Information Sciences, University of Alabama at Birmingham, Birmingham, AL 35294-1170, U.S.A.

*Department of Computer and Information Sciences, University of Alabama at Birmingham, Birmingham, AL 35294-1170, U.S.A.

  1. †

    Project Web site http://www.uab.cis.edu/hernandf/projects/gauge

Publication History

  1. Issue published online: 19 JUL 2006
  2. Article first published online: 13 DEC 2005
  3. Manuscript Accepted: 27 APR 2005
  4. Manuscript Revised: 16 MAR 2005
  5. Manuscript Received: 1 JUN 2004

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Keywords:

  • Grid workflow;
  • domain-specific modeling;
  • Grid computing;
  • visual languages

Abstract

The Grid has proven to be a successful paradigm for distributed computing. However, constructing applications that exploit all the benefits that the Grid offers is still not optimal for both inexperienced and experienced users. Recent approaches to solving this problem employ a high-level abstract layer to ease the construction of applications for different Grid environments. These approaches help facilitate construction of Grid applications, but they are still tied to specific programming languages or platforms. A new approach is presented in this paper that uses concepts of domain-specific modeling (DSM) to build a high-level abstract layer. With this DSM-based abstract layer, the users are able to create Grid applications without knowledge of specific programming languages or being bound to specific Grid platforms. An additional benefit of DSM provides the capability to generate software artifacts for various Grid environments. This paper presents the Grid Automation and Generative Environment (GAUGE). The goal of GAUGE is to automate the generation of Grid applications to allow inexperienced users to exploit the Grid fully. At the same time, GAUGE provides an open framework in which experienced users can build upon and extend to tailor their applications to particular Grid environments or specific platforms. GAUGE employs domain-specific modeling techniques to accomplish this challenging task. Copyright © 2005 John Wiley & Sons, Ltd.

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