A Node-Oriented Discrete Event Scheduling Algorithm Based on Finite Resource Model

A Node-Oriented Discrete Event Scheduling Algorithm Based on Finite Resource Model

Yu Huang (Peking University, Beijing, China), Wanxing Sheng (China Electric Power Research Institute, Beijing, China), Peipei Jin (Peking University, Beijing, China), Baicuan Nie (Peking University, Beijing, China), Meikang Qiu (Pace University, New York City, USA) and Guangquan Xu (Tianjin University, Tianjin, China)
Copyright: © 2019 |Pages: 16
DOI: 10.4018/JOEUC.2019070104

Abstract

Discrete event simulation is the most important and essential part in network simulation. The node-oriented model of discrete event scheduling is a model that allocates computing resources as nodes and makes the discrete event simulation as a simulation task on nodes. In this article the reason of low performance in large-scale network simulation is analyzed, and an ideal node-oriented model of discrete event scheduling is presented and a resource-limited node-oriented model of discrete event scheduling by adding some restrictions on network resources is proposed. Then, the authors complete contrast experiments of the resource-limited node-oriented model of discrete event scheduling and NS2. Finally, packet loss in resource-limited node-oriented model of discrete event scheduling is examined. Also, NS2 is discussed in this article and the authors have proposed an improved method for the packet loss algorithm in a resource-limited node-oriented model of discrete event scheduling.
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Background

In the rapid expansion of the Internet, on hand, the network researchers have constantly to thinking of new network protocols and algorithms based on a prospective study for the development of the Internet, they have to study how to use and integrate the existing cyber source and enable the network to achieve the highest performance on the other hand. Therefore, these studies cannot be separated from the verification and analysis of the network scheme and the use of software to simulate the scheme is economic, effective and accurate. In this demand, many more mature network simulation software, such as NS2, OPNET and so on.

The existing simulation techniques can be used to simulate the network schemes carefully. What’s more, the accuracy of the simulation techniques is reliable. For example, the use of NS2 simulation results in the literature of many international network studies, which also made NS2 in a higher position in the academic community.

Large scale network simulation is of great significance such as follows:

  • Reduce the cost of hardware use and reduce the cost of simulation;

  • Shortening the simulation time which makes it possible to predict the behavior of the network;

  • Guiding the implementation of network measures to improve the robustness of the network.

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