WCSE 2019 SPRING ISBN: 978-981-14-1455-8
DOI: 10.18178/wcse.2019.03.012

Implementing Data Distribution Management System Using Layer Partition-based Matching Algorithm

Nwe Nwe Myint Thein

Abstract— Simulation has become a popular tool to study a broad range of systems. The growing number and quality of simulat ion software requires expertise for their evaluation. In High Level Architecture paradigm, the Runtime Infrastructure (RTI) provides a set of services. Data Distribution Management (DDM) service reduces message traffic over the network. DDM services are used to reduce the transmission and receiving of irrelevant data and aimed at reducing the communication over the network. Currently, there are several main DDM filtering algorithms. The paper describes practically testing result for the data distribution management (DDM) service of the Battleground simulation with the dynamic fighters by using layer partition-based algorithm. The layer partition-based matching algorithm is based on divide and conquers approach. It selects the dynamic pivot by detecting the regions distribution on the routing space. This system intends to detect the movement of the fighter objects, searches overlap between the fighter object and every battalions (extents). It is large-scale distributed simulation in order to minimize subsequent computations and algorithm complexity. The developed system can be used not only in the research purpose but also in the real-world distributed applications. It provides the low computational time and exact matching result.

Index Terms— Modelling and Simulation, Data Distribution Management, Matching Algorithm, Layer partition-based Matching Algorithm

Nwe Nwe Myint Thein
Lecturer, University of Information Technology, MYANMAR

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Cite: Nwe Nwe Myint Thein, "Implementing Data Distribution Management System Using Layer Partition-based Matching Algorithm," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering WCSE_2019_SPRING, pp. 68-73, Yangon, Myanmar, February 27-March 1, 2019.