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Admission control mechanism for quality of service and security in H.323 voice gateway

机译:H.323语音网关中服务质量和安全性的准入控制机制

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摘要

The rapid demand on the VOIP communication lead to the increase of the development of information security and the offered quality. Therefore, information technology has increased the deepening and developing of call admission control (CAC). In which, admission decisions and resource reservations are taken at the edge voice gateway, rather than resources or individual routers within the network. This means that, CAC decision is made before a voice call is established and it depends on the availability of the required call resources to provide suitable quality of service (QoS) for the new call. In this article, a new model for voice network, in order to achieve QoS along with security, is proposed. In the proposed model, the admission control decision is taken place at H.323 voice gateways using resource reservation protocol. It is shown that the admission control decision should be taken at edge H.323 voice gateways. This will lead to provide the accepted security for both, source and destination nodes which were previously authenticated through the identity services engine. It is concluded from the simulation results that the packet loss rate of call flows after implementing the mechanism is almost 0%. In addition, there is no jitter although there is some delay for packet delivery "Latency." The latency observed by the proposed model is still accepted according to the ITU G.114 standard which recommends a maximum of a 150 ms one-way latency. All results are tested in GNS3 based simulation to evaluate the performance of voice gateway based upon CAC.
机译:对VoIP通信的快速需求导致信息安全和提供的质量的发展增加。因此,信息技术增加了呼叫入院控制(CAC)的深化和发展。其中,录取决策和资源预留在边缘语音网关中,而不是网络内的资源或个人路由器。这意味着,在建立语音呼叫之前进行CAC决策,这取决于所需呼叫资源的可用性,为新呼叫提供适当的服务质量(QoS)。在本文中,提出了一种新的语音网络模型,以便实现QoS与安全性。在所提出的模型中,使用资源预留协议在H.323语音网关中进行准入控制决策。结果表明,应在Edge H.323语音网关中进行准入控制决定。这将导致为先前通过身份服务引擎进行身份验证的源和目的地节点的接受安全性。从仿真结果结束,即实施机制后呼叫流程的封路损耗率几乎为0%。此外,没有抖动,尽管数据包传递“延迟”存在一些延迟。根据ITU G.114标准仍可接受所提出的模型所观察到的延迟,该标准最多推荐一个150毫秒的单向延迟。所有结果都在GNS3基础仿真中进行了测试,以评估语音网关的性能,基于CAC。

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