Enhancing Biotechnological Research and Development: Network Simulation and Modeling Using OPNET Technologies

Authors

  • Cao Yang ,Situo Zhang Power Dispatch and Control Center, CSG, Guangzhou,Guangdong,China, 510630
  • Jian Wang, Huajun Chen, Ming Zhe Digital Grid Research Institute, CSG,Guangzhou,China,510670

DOI:

https://doi.org/10.5912/jcb1160

Abstract

OPNET Network Simulator is a sophisticated tool designed to model and simulate network behavior and performance with a high degree of precision and adaptability. Unlike other simulation tools, OPNET offers pre-built models of protocols and devices, facilitating the creation and simulation of diverse network topologies. While the set of protocols and devices is predefined, preventing the creation of new protocols or alteration of existing ones, OPNET remains a pivotal technology for network design and optimization in complex environments. In biotechnological research and development, network simulation can provide essential quantitative data to support network planning and performance enhancement. This paper explores the components and characteristic features of the OPNET simulation technology, detailing its application in a simulated biotechnological research environment. It specifically discusses the simulation process, demonstrating how OPNET can be utilized to analyze network delays and optimize data transmission within a campus-like research setting. The study's objective is to validate the precision of the OPNET analyzer in predicting network behavior under real-world conditions, using independent data sets and actual network scenarios. By integrating OPNET simulations, biotechnological researchers can anticipate and mitigate potential network issues, thereby enhancing the reliability and efficiency of data-intensive biotechnological research. This approach not only improves operational efficiencies but also ensures that critical research activities can proceed without disruption due to network-related issues.

Published

2022-02-03