دورية أكاديمية

Adaptive Maximums of Random Variables for Network Simulations

التفاصيل البيبلوغرافية
العنوان: Adaptive Maximums of Random Variables for Network Simulations
المؤلفون: Rong Nan Chiou, Chia-Nian Shyi
المصدر: Journal of Computer Systems, Networks, and Communications, Vol 2009 (2009)
بيانات النشر: Wiley, 2009.
سنة النشر: 2009
المجموعة: LCC:Computer engineering. Computer hardware
LCC:Electronic computers. Computer science
مصطلحات موضوعية: Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95
الوصف: In order to enhance the precision of network simulations, the paper proposes an approach to adaptively decide the maximum of random variables that create the discrete probabilities to generate nodal traffic on simulated networks. In this paper, a statistical model is first suggested to manifest the bound of statistical errors. Then, according to the minimum probability that generates nodal traffic, a formula is proposed to decide the maximum. In the formula, a precision parameter is used to present the degree of simulative accuracy. Meanwhile, the maximum adaptively varies with the traffic distribution among nodes because the decision depends on the minimum probability generating nodal traffic. In order to verify the effect of the adaptive maximum on simulative precision, an optical network is introduced. After simulating the optical network, the theoretic average waiting time of nodes on the optical network is exploited to validate the exactness of the simulation. The proposed formula deciding the adaptive maximum can be generally exploited in the simulations of various networks. Based on the precision parameter K, a recursive procedure will be developed to automatically produce the adaptive maximum for network simulations in the future.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-7381
1687-739X
Relation: https://doaj.org/toc/1687-7381; https://doaj.org/toc/1687-739X
DOI: 10.1155/2009/383720
URL الوصول: https://doaj.org/article/62bbba04512042b3ad1e81e6b8f7137c
رقم الأكسشن: edsdoj.62bbba04512042b3ad1e81e6b8f7137c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16877381
1687739X
DOI:10.1155/2009/383720