A Hybrid DDM Algorithm Based on Weight Function

The high level architecture (HLA) has become the focus of distributed interactive simulation's general technology frame. Data distribution management (DDM), one of the six services in run time infrastructure (RTI), provides data filtering mechanism to meet the requirements of system scalability...

Full description

Saved in:
Bibliographic Details
Published inFSKD 2008 : Fifth International Conference on Fuzzy Systems and Knowledge Discovery : 18-20 October, 2008 : Jinan, Shandong, China : proceedings Vol. 2; pp. 225 - 229
Main Authors Guisheng Zhang, Xia Zhang, Deyu Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
Competitive intelligence
Computational modeling
Computer architecture
DDM
Distributed decision making
Filtering algorithms
Fuzzy systems
HLA
Information processing
Laboratories
Routing
Scalability
Weight Function
Online AccessGet full text
ISBN9780769533056
0769533051
DOI10.1109/FSKD.2008.419

Cover

More Information
Summary:The high level architecture (HLA) has become the focus of distributed interactive simulation's general technology frame. Data distribution management (DDM), one of the six services in run time infrastructure (RTI), provides data filtering mechanism to meet the requirements of system scalability. This paper describes and reviews the popular DDM filtering algorithms, and discusses their respective merits. Especially, it presents a new hybrid DDM algorithm which is based on weight function. Simulation experiments show this algorithm has some desirable theoretical properties. Comparing with the traditional DDM filtering algorithms, the presented approach can greatly improve the data filtering efficiency. It has achieved the goal of improving DDM performance.
ISBN:9780769533056
0769533051
DOI:10.1109/FSKD.2008.419