NDLI: Performance Analysis of an Adaptive Dynamic Grid-Based Approach to Data Distribution Management

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Performance Analysis of an Adaptive Dynamic Grid-Based Approach to Data Distribution Management

Content Provider	ACM Digital Library
Author	Araujo, Regina B. Gu, YunFeng Boukerche, Azzedine
Abstract	Data Distribution Management (DDM) plays a key role in traffic volume control of large-scale distributed simulations. In recent years, several solutions have been devised to make DDM more efficient and adaptive to different traffic conditions. Examples of such systems include Region-Based, Fixed Grid-Based, Hybrid, and Dynamic Grid-Based (DGB) schemes. However, less effort has been made to improve the processing performance of DDM techniques. This paper presents a novel DDM scheme called the Adaptive Dynamic Grid-Based (ADGB) scheme that optimizes DDM time through analysis of Matching performance. ADGB uses an advertising scheme in which information about the target cell involved in the process of matching subscribers to publishers is known in advance. An important concept known as Distribution Rate (DR) is devised. DR represents the relative processing load and traffic volume generated at each federate. The Matching performance and DR are used as part of the ADGB method to select, throughout the simulation, the devised advertisement scheme that achieves maximum gain with acceptable network traffic overhead. Performance estimation and analysis of ADGB have shown that given an ideal Matching probability, an efficiency gain of a maximum of 66% over the DGB scheme can be achieved. The novelty of the ADGB scheme is its focus on improving performance, an important (and often forgotten) goal of DDM strategies.
Starting Page	175
Ending Page	184
Page Count	10
ISBN	0769526977
ISSN	15506525
DOI	10.1109/DS-RT.2006.28
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-10-02
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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