Managing jobs with an interpreted language for dynamic adaptation

  • Authors:
  • Anolan Milanés;Noemi Rodriguez;Bruno Schulze

  • Affiliations:
  • Pontifícia Universidade, Católica do Rio de Janeiro;Pontifícia Universidade, Católica do Rio de Janeiro;National Laboratory for Scientific Computing, Brazil

  • Venue:
  • MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
  • Year:
  • 2005

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Abstract

In this paper we explore the advantages of using interpreted languages for building submitting engines for the grid. In particular, we discuss an example engine, developed using ALua, for submitting jobs in a cluster, which can be extended to a grid environment. We claim that the flexibility offered by interpreted languages justifies the problems related to the intrinsic loss of efficiency associated with this kind of languages. The focus of this work is on adaptation and ease of use.