IP address management (IPAM) systems are commonly used in the telecommunication industry to serve resource management for large-scaled IP networks. In resource management, IPAM provides network operators a live IP lifecycle support with an easier use on IP inventory while providing the scaling and high performance. Throughout the management of IP lifecycle, having up-to-date topology information plays a key role because of the rapidly changing usage of the IP addresses. Furthermore, if the usage information which corresponds to data taken from the real topology for a specific block does not match with the information in planned state, there arises an anomaly situation. And if this anomaly is not taken under control, especially for the large-scaled networks, it causes a considerable increase in the operational cost (OPEX) of the internet service providers (ISPs). Thus, keeping track of this resource and checking the anomaly cases make a smooth functioning process through the lifecycle of an IP block in telecom applications. However, the techniques used in traditional IPAMs are mostly not covering track of IP usage. For this purpose, we propose an attribute-based IP management module (KIP), which consists of three engines by covering the three active states of the IP lifecycle. In this way, KIP serves efficient IP management with minimum traversal time, anomaly rate, and planning time. Compared to previous methods, our method has addressed three additional challenges that significantly impact an effective IP lifecycle management by regarding device-specific information, such as connectivity, anomaly situation, and planning.

中文翻译：

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电信网络中自动化 IP 生命周期管理的图形理论方法

IP 地址管理 (IPAM) 系统通常用于电信行业，以服务于大型 IP 网络的资源管理。在资源管理方面，IPAM 为网络运营商提供实时 IP 生命周期支持，在提供可扩展性和高性能的同时，更容易使用 IP 库存。在 IP 生命周期的整个管理过程中，由于 IP 地址的使用快速变化，拥有最新的拓扑信息起着关键作用。此外，如果对应于从特定块的真实拓扑中获取的数据的使用信息与计划状态中的信息不匹配，则会出现异常情况。如果这种异常没有得到控制，特别是对于大型网络，它会导致互联网服务提供商 (ISP) 的运营成本 (OPEX) 大幅增加。因此，跟踪此资源并检查异常情况可以在电信应用程序中的 IP 块的整个生命周期中顺利运行。然而，传统 IPAM 中使用的技术大多不包括 IP 使用跟踪。为此，我们提出了一个基于属性的 IP 管理模块（KIP），它由三个引擎组成，涵盖了 IP 生命周期的三个活动状态。通过这种方式，KIP 以最小的遍历时间、异常率和规划时间为高效的 IP 管理服务。与以前的方法相比，我们的方法解决了三个额外的挑战，这些挑战通过考虑特定于设备的信息（例如连接性、