Abstract
Information technology (IT) networks can experience dynamic changes due to a variety of events (e.g., hardware refreshes, configuration changes, feature updates, etc.). The dynamic nature of such networks can make it challenging to understand and document the relationships between devices, and also between different devices and business services that may be provided by the devices. In order to address such challenges, techniques are proposed herein through which a device's generated events (or logs) can be observed and, from content of the events, pertinent information can be extracted in order to build an understanding of how devices are related to understand the relationships among the devices. This information can then be used to create a relational data set that can be timestamped and made interactive through a database, thereby allowing users (or automations) to view and interact with relationship and/or node/device types, find adjacencies/relationships, and make more informed decisions by understanding network relationships, connections, and their dependencies to other devices and services.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Galvan, Greg; Holl, Steve; and Coleman, Jason, "FACILITATING A DYNAMIC RELATIONSHIP UNDERSTANDING OF INFORMATION TECHNOLOGY INFRASTRUCTURE THROUGH TOMOGRAPHIC SOURCES FOR COGNITIVE NETWORK OPERATION", Technical Disclosure Commons, (November 21, 2024)
https://www.tdcommons.org/dpubs_series/7584