Performance evaluation of Data Distribution Management strategies

Abstract

Abstract Data Distribution Management (DDM) is a High Level Architecture/Run‐Time Infrastructure (HLA/RTI) service that manages the distribution of state updates and interaction information in large‐scale distributed simulations and limits and controls the volume of data exchanged during the simulation. In this paper, we describe a mini‐RTI framework that we have developed in an effort to determine the most efficient model for applying the DDM service and the limitations of the scalability of various DDM methods. We study and compare the performance of the following five DDM strategies: two variations of the fixed‐based method, two variations of the dynamics grid‐based scheme and the region‐based method. Due to a lack of accepted benchmarks, we also propose a variety of workloads and scenarios, which we hope will become a standards benchmark within the distributed simulation communities. Copyright © 2004 John Wiley & Sons, Ltd.