Title

Data Distribution Management For High Performance Distributed Simulation In Resource-Constraint Environment

Keywords

DDM; Distributed Simulation; HLA; Resource constraint Computing; Scalable computing

Abstract

Data Distribution Management (DDM) is responsible in parallel and distribution simulation, especially in large-scale distributed modeling and simulation applications, for limiting and controlling the data exchanged and reducing the processing requirements of federates. In high-performance distributed simulation, system scalability can be seriously inhibited by limits on resources such communication bandwidth, memory, and CPU availability. In this paper, we present the design and implementation of a resource-efficient enhancement to the P-Pruning algorithm for data distribution management problem in High Level Architecture. We also present a performance evaluation study in a memory-constraint environment. The Memory-Constraint P-Pruning algorithm deploys I/O efficient data-structures for optimized memory access at run-time. The simulation results show that the Memory-Constraint P-Pruning DDM algorithm is faster than the P-Pruning algorithm and utilizes memory at run-time more efficiently. It is suitable for high performance distributed simulation applications as it improves the scalability of the P-Pruning algorithm by several order in terms of number of federates. © ECMS, 2006.

Publication Date

12-1-2006

Publication Title

20th European Conference on Modelling and Simulation: Modelling Methodologies and Simulation Key Technologies in Academia and Industry, ECMS 2006

Number of Pages

671-676

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84857769643 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84857769643

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