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Dive into the research topics where Liu Baohong is active.

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Featured researches published by Liu Baohong.


acm special interest group on data communication | 2003

Design of a robust active queue management algorithm based on feedback compensation

Zhang Heying; Liu Baohong; Dou Wen-hua

Active Queue Management (AQM) is a very active research area in networking. The main objective of an AQM mechanism is to provide low delay and low loss service in best-effort service networks. In this paper we propose a new AQM algorithm based on the feedback compensation technique in control theory. The algorithm is called Proportional Integral based series compensation, and Position feedback compensation (PIP). By choosing the appropriate feedback compensation element and its parameters, the properties of the corrected system become dependent, to a great extent, on the series and feedback compensatory elements. Thus, PIP can eliminate the error incurred by the inaccuracy in the linear system model as well as eliminate the sensitivity to the changes in system parameters like load level, propagation delay, etc. The performance of PIP is compared to PI using ns simulations. From the experiments and analysis we conclude that PIP is more responsive to and robust under time-varying network conditions than PI.Active Queue Management (AQM) is a very active research area in networking. The main objective of an AQM mechanism is to provide low delay and low loss service in best-effort service networks. In this paper we propose a new AQM algorithm based on the feedback compensation technique in control theory. The algorithm is called Proportional Integral based series compensation, and Position feedback compensation (PIP). By choosing the appropriate feedback compensation element and its parameters, the properties of the corrected system become dependent, to a great extent, on the series and feedback compensatory elements. Thus, PIP can eliminate the error incurred by the inaccuracy in the linear system model as well as eliminate the sensitivity to the changes in system parameters like load level, propagation delay, etc. The performance of PIP is compared to PI using ns simulations. From the experiments and analysis we conclude that PIP is more responsive to and robust under time-varying network conditions than PI.


The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology | 2007

A Formal Description Specification for Multi-Resolution Modeling Based on DEVS Formalism and its Applications

Liu Baohong

Multi-Resolution Modeling (MRM) is a relatively new research area. With the development of distributed interactive simulation, especially as the emergence of HLA (High Level Architecture), multi-resolution modeling becomes one of the key technologies for advanced modeling and simulation. But there is little research in the area of the theory of multi-resolution modeling, especially the formal description of MRM. In this paper, a new concept for the description of multi-resolution modeling, named Multi-resolution model Family (MF) is presented. A multi-resolution model family is defined as the set of different resolution models of the same entity. The description of MF includes two parts: models of different resolution and their relations. Based on this new concept and DEVS (Discrete Event Specification) formalism, a new multi-resolution model system specification, named MRMS (Multi-Resolution Model system Specification) is proposed. Some important properties of MRMS, especially the closure of MRMS under coupling operation are given and proved. MRMS provides a foundation and a powerful description tool for the research of MRM. An example to illustrate how to describe a multi-resolution model using our specification is given. Using this description, the theory and implementation of MRM can be further studied.


Ai & Society | 2004

A formal description specification for multi-resolution modeling (MRM) based on DEVS formalism

Liu Baohong; Huang Ke-di

Multi-Resolution Modeling (MRM) is a relatively new research area. With the development of distributed interactive simulation, especially as the emergence of HLA, multi-resolution modeling becomes one of the key technologies for advanced modeling and simulation. There is little research in the area of the theory of multi-resolution modeling, especially the formal description of MRM. In this paper, we present a new concept for the description of multi-resolution modeling, named multi-resolution model family (MF). A multi-resolution model family is defined as the set of different resolution models of the same entity. The description of MF includes two parts: models of different resolution and their relations. Based on this new concept and DEVS formalism, we present a new multi-resolution model system specification, named MRMS (Multi-Resolution Model system Specification). And we present and prove some important properties of MRMS, especially the closure of MRMS under coupling operation. MRMS provides a foundation and a powerful description tool for the research of MRM. Using this description, we can further study the theory and implementation of MRM.


international conference on computer modeling and simulation | 2010

Introduction to the Design and Implementation of a Web-Based Meta-Synthetic System (WebSMS )

Liu Baohong; Liu Jian; Yan Li

What we are proposing in this paper is the object, architecture, design and implementation of a Web-Based Simulation Meta-Synthesis, named WebSMS. The motivation of the WebSMS system is to provide services for distributed and secure sharing and reuse of resource, distributed collaboration, and distributed execution and observation of simulation. In this paper, the foundational idea of meta-synthetic is introduced firstly. Then, the architecture of the meta-synthetic framework is given and the design of the main function and its key technologies are proposed.


Archive | 2013

Processing method and device for distributed simulation data

Huang Jian; Zhong Ronghua; Hao Jianguo; Gong Jianxing; Chen Bin; Liu Baohong; Ju Rusheng; Yang Jian


international conference on modelling and simulation | 2007

Parallel implementation of multi-resolution models in distributed simulation system

Liu Baohong; Hao Jianguo; Huang Ke-di


summer computer simulation conference | 2011

High performance rendering of large scale linear features through virtual connection and best line length selection

Guo Gang; Wang Quanmin; Liu Baohong; Yao Xin-yu; Wang Yu-hui; Zhao Xin-jun


Computer Simulation | 2008

Research Overview Towards Theory and Key Techniques of Combat Simulation Systems Based on Data Farming

Liu Baohong


Computer Simulation | 2007

Description Research for Simulation Resource of HLA

Liu Baohong


Archive | 2013

DISTRIBUTED SIMULATION DATA PROCESSING METHOD AND DEVICE

Huang Jian; Zhong Ronghua; Hao Jianguo; Gong Jianxing; Chen Bin; Liu Baohong; Ju Rusheng; Yang Jian

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Hao Jianguo

National University of Defense Technology

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Gong Jianxing

National University of Defense Technology

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Huang Jian

National University of Defense Technology

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Huang Ke-di

National University of Defense Technology

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Dou Wen-hua

National University of Defense Technology

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Guo Gang

National University of Defense Technology

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Liu Jian

National University of Defense Technology

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Wang Quanmin

National University of Defense Technology

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Wang Yu-hui

National University of Defense Technology

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Yan Li

National University of Defense Technology

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