Challenges in Executing Data Intensive Biometric Workloads on a Desktop Grid
Desktop grids have traditionally focused on executing computation intensive workloads. Can they also be used to execute data-intensive workloads? To answer this question, the authors present a case study of a data intensive biometric application which is infeasible to process on a single machine. They evaluate the capacity of a desktop grid to store and deliver the data need to execute the workload, and compare several general techniques for data deployment. Selecting the most scalable technique, the authors execute and evaluate five large production workloads on a 350-CPU desktop grid.