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SIMULATION OF POLICY BASED NETWORKS THROUGH DIFFERENTIATED SERVICE LEVELS USING ARENA SIMULATION SOFTWARE

机译:使用ARENA仿真软件通过不同的服务级别对基于策略的网络进行仿真

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摘要

Large internet environments are increasing the difficulty of network management. Network managers face a serious problem in controlling user based services and packet delays across the network. One of the main areas that requires attention is how to effectively manage corporate network costs and allocate usage based services. This paper presents a new network simulation model that helps to investigate importance of including users in the network design and study how to effectively manage user usage based resources by having differentiated services. The simulation package chosen was ARENA. Through this simulation usability characteristics of users that designers may overlook can be identified. Simulations are very useful to understand network traffic patterns in large organizations so that they are able to achieve the best network performance. The simulation model collects statistics about users, service type to be provided for various user groups, manage user resources and thus reduces network downtime. Network time based analysis through queueing theory principles helps us to avoid congestion in network and facilitates effective network administration.
机译:大型Internet环境增加了网络管理的难度。网络管理员在控制整个网络中基于用户的服务和数据包延迟方面面临着严重的问题。需要关注的主要领域之一是如何有效地管理公司网络成本并分配基于使用情况的服务。本文提出了一种新的网络仿真模型,该模型有助于调查将用户包括在网络设计中的重要性,并研究如何通过区分服务来有效管理基于用户使用的资源。选择的仿真程序包是ARENA。通过这种模拟,可以确定设计人员可能忽略的用户可用性特征。模拟对于了解大型组织中的网络流量模式非常有用,因此它们能够获得最佳的网络性能。仿真模型收集有关用户,要为各种用户组提供的服务类型的统计信息,管理用户资源,从而减少网络停机时间。通过排队理论原理进行基于网络时间的分析,有助于我们避免网络拥塞,并促进有效的网络管理。

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