managing jobs with an interpreted language for dynamic adaptation
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.
interpreted languages adaptation grid computing job management