In large-scale distributed simulation, thousands of objects keep moving and interacting in a virtual environment, which produces a mass of messages. High level architecture （HLA） is the prevailing standard for model...In large-scale distributed simulation, thousands of objects keep moving and interacting in a virtual environment, which produces a mass of messages. High level architecture （HLA） is the prevailing standard for modeling and simulation. It specifies two publish-subscribe mechanisms for message filtering： class-based and value-based. However, the two mechanisms can only judge whether a message is relevant to a subscriber or not. Lacking of the ability to evaluate the relevance, all relevant messages are delivered with the same priority even when congestion occurs. It significantly limits the scalability and performance of distributed simulation. Aiming to solve the relevance evaluation problem, speed up message filtering, and filter more unnecessary messages, a new relevance evaluation mechanism Layer of Interest （Lol） was proposed by this paper. Lol defines a relevance classifier based on the impact of spatial distance on receiving attributes and attribute values. An adaptive publish-subscribe scheme was built on the basis of Loh This scheme can abandon most irrelevant messages directly. Run-time infrastructure （RTI） can also apply congestion control by reducing the frequency of sending or receiving object messages based on each objects＇ Loh The experiment results verify the efficiency of message filtering and RTI congestion control.展开更多
Congestions brought by data explosion may suffer system performance or even cause fatal errors in large-scale simulation systems.This paper analyzes the reasons of generating congestion with queuing theory,and propose...Congestions brought by data explosion may suffer system performance or even cause fatal errors in large-scale simulation systems.This paper analyzes the reasons of generating congestion with queuing theory,and proposes a novel congestion control approach for RTI with hybrid architecture,including framework,sampling policy,queue length predicting,and congestion control algorithm.The framework promotes the usage of federate resources,and improves the performance of HLA simulation systems by dynamically distributing loads on RTIG and LRCs(Local RTI Components).At last,experimental results say that the proposed approach is a flexible,simple and efficient way to control congestion in RTI with hybrid architecture.展开更多
基金Supported by the National Basic Research Program of China (Grant No. 2009CB320805)the National Natural Science Foundation of China(Grant No. 60603084)the National High-Tech Research & Development Program of China (Grant No. 2006AA01Z331)
文摘In large-scale distributed simulation, thousands of objects keep moving and interacting in a virtual environment, which produces a mass of messages. High level architecture （HLA） is the prevailing standard for modeling and simulation. It specifies two publish-subscribe mechanisms for message filtering： class-based and value-based. However, the two mechanisms can only judge whether a message is relevant to a subscriber or not. Lacking of the ability to evaluate the relevance, all relevant messages are delivered with the same priority even when congestion occurs. It significantly limits the scalability and performance of distributed simulation. Aiming to solve the relevance evaluation problem, speed up message filtering, and filter more unnecessary messages, a new relevance evaluation mechanism Layer of Interest （Lol） was proposed by this paper. Lol defines a relevance classifier based on the impact of spatial distance on receiving attributes and attribute values. An adaptive publish-subscribe scheme was built on the basis of Loh This scheme can abandon most irrelevant messages directly. Run-time infrastructure （RTI） can also apply congestion control by reducing the frequency of sending or receiving object messages based on each objects＇ Loh The experiment results verify the efficiency of message filtering and RTI congestion control.
基金supported in part by the Chinese National Science and Technology Support Program(Grant NO.2012BAH35F01).
文摘Congestions brought by data explosion may suffer system performance or even cause fatal errors in large-scale simulation systems.This paper analyzes the reasons of generating congestion with queuing theory,and proposes a novel congestion control approach for RTI with hybrid architecture,including framework,sampling policy,queue length predicting,and congestion control algorithm.The framework promotes the usage of federate resources,and improves the performance of HLA simulation systems by dynamically distributing loads on RTIG and LRCs(Local RTI Components).At last,experimental results say that the proposed approach is a flexible,simple and efficient way to control congestion in RTI with hybrid architecture.
