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Router Resource Management Research

机译:路由器资源管理研究

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In modern competitive conditions the telecommunications technologies and systems are constantly under improvement to ensure a better quality of service (QoS) as is required by the total aggregate services (multiservice) as well as increasing requirements of the users. Due to that efficient performance of the network nodes is extremely important for service providers. It is possible to describe the following tasks: the management of the optimal communication channels, their bandwidth capacity, protocols' selection, the router's memory, and the processes management. The traffic management methods in the information technology (IT) are based on the conventional procedures, such as: Traffic Shaping, CB Policing, GCRA and similar [1]. Queuing control mechanisms {WFQ, CBWFQ, WRR) are used in the flow packets for the equivalent resource allocation algorithms, e.g. max-min fair-share allocation, GPS, and others. The routing protocols RIP, OSPF, IS-IS, BGP in the IT equipment use minimum path determination methods [2]. These methods do not assess real time flow dynamics and this leads to routing flow anomalies in the transit and marginal IT nodes. It can be avoided installing the priority flows recalculation in the IT nodes in the real-time by assessing the state of the current IT node (e.g. the occupation of the input/output packet buffers, service packet duration, and the processor computing capability). The random Markov processes are usually used to describe the IT node resources dynamic properties. This solution requires substantial computing resources with complex technical implementations. It is known that the key resources for the IT nodes are the input/output packets' buffer capacity and computing resources. They can be generally evaluated as the resource value depending on their use coefficients. Therefore, the effective models can be applied for the IT resource management component analysis, i.e. evaluating resource value, which is variable, depending on the supply and the demand at current time [3]. The objective of this work is to investigate application of stability conditions in the routers taking into account the variable delay time.
机译:在现代竞争条件下,电信技术和系统不断改进,以确保总汇总服务(MultiService)所需的服务质量(QoS)以及用户的需求增加。由于网络节点的高效性能对于服务提供商来说非常重要。可以描述以下任务:管理最佳通信信道,它们的带宽容量,协议选择,路由器的内存和进程管理。信息技术(IT)中的流量管理方法基于传统程序,例如:流量整形,CB警务,GCRA和类似[1]。排队控制机制{WFQ,CBWFQ,WRR)用于等效资源分配算法的流量分组中,例如, Max-min公平份额分配,GPS等。 IT设备中的路由协议RIP,OSPF,IS-IS,BGP使用最小路径确定方法[2]。这些方法不评估实时流动动态,这导致过境和边缘IT节点中的流动异常路由。通过评估当前IT节点的状态(例如,占用输入/输出分组缓冲区,服务分组持续时间和处理器计算能力,可以避免在实时安装优先级在IT节点中重新计算。随机马尔可夫过程通常用于描述IT节点资源动态属性。该解决方案需要具有复杂的技术实现的大量计算资源。众所周知,IT节点的关键资源是输入/输出分组的缓冲容量和计算资源。它们通常可以根据其使用系数评估为资源值。因此,可以应用于IT资源管理组件分析的有效模型,即评估资源值,这是可变的,具体取决于电源和当前时间的需求[3]。这项工作的目的是调查考虑到可变延迟时间的路由器中的稳定条件的应用。

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