Affiliations: San Jose State University, San Jose, CA 95192, USA
and NASA Ames Research Center | XUMA, San Francisco, CA, USA
Note: [] Computer Engineering, College of Engineering, One Washington
Square, San Jose State University, San Jose, California 95192, USA. Tel.: +1
408 924 4059; Fax: +1 408 924 4153; E-mail: rfatoohi@email.sjsu.edu
Abstract: This paper describes the development and implementation of a
distributed job execution environment for highly iterative jobs. An iterative
job is defined here as a binary code that is run multiple times with
incremental changes in the input values for each run. An execution environment
is a set of resources on a computing platform that can be made available to run
the job and hold the output until it is collected. The goal is to design a
complete, object-oriented execution system that runs a variety of jobs with
minimal changes. Areas of code that are unique to a specific type of job are
decoupled from the rest. The system allows for fine-grained job control, timely
status notification and dynamic registration and deregistration of execution
platforms depending on resources available. Several objected-oriented
technologies are employed: Java, CORBA, UML, and software design patterns. The
environment has been tested using a simulation code, INS2D.
