A COMPARISON STUDY BETWEEN DISTRIBUTED AND CENTRALIZED JOB WORKFLOW EXECUTION MODELS

Job workflow execution can be classified into centralized execution and distributed execution. The centralized execution may cause problems such as single point of failure and poor scalability; whereas the distributed job workflow execution may bring additional runtime overhead. This paper describes a comparison study between these two execution models. First, to put discussion into prospective, our framework for mobile agent based distributed job workflow execution over the Grid: Mobile Code Collaboration Framework (MCCF) is described. Second we introduce a commonly used centralized execution engine, Condor DAGMan. Then, the differences between job workflow execution in our context and those in the Condor DAGMan are discussed. Finally, a comparison study using simulated job workflows executed on a prototype implementation of the MCCF and Condor DAGMan is carried out on an emulated WAN setup. The results show that MCCF achieves better job workflow execution time.