# US 2026/0074956 A1 · Predictive Analytics For Network Topology Subsets > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0074956 A1 - Document ID: US20260074956A1 - Status: Published application - Kind: A1 - Application number: 19/381,662 - Filed: 2025-11-06 - Published: 2026-03-12 - Earliest claimed: 2023-02-28 - Assignees: Oracle International Corporation - Applicants: Oracle International Corporation - Inventors: Santhosh Kumar Vuda; Kiran Kumar Palukuri; Kumar G Varun; Jerry Paul Russell - Web page: https://patentgrep.com/patent/US20260074956A1 ## CPC - H04L 41/12: Discovery or management of network topologies - H04L 41/0894: Policy-based network configuration management - H04L 41/122: of virtualised topologies, e.g. software-defined networks [SDN] or network function virtualisation [NFV] - H04L 41/145: {involving simulating, designing, planning or modelling of a network} - H04L 41/147: for predicting network behaviour - H04L 41/149: for prediction of maintenance - H04L 41/16: using machine learning or artificial intelligence - H04L 41/22: comprising specially adapted graphical user interfaces [GUI] - H04L 41/40: using virtualisation of network functions or resources, e.g. SDN or NFV entities - H04L 43/0817: by checking functioning - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract Techniques for recommending plans to remediate a network topologies are disclosed. The techniques include predicting characteristics of the network using network topology information identifying relationships between entities in the network. The techniques further include determining a subset of the topology based on the predicted characteristics violating anomaly detection criteria. Additionally, the techniques include determining a remediation plan for modifying the subset and presenting the plan to a user. ## Claims ### Claim 1 A method comprising: determining network topology information for a plurality of time periods, the network topology information comprising, for individual time periods of the plurality of time periods: a plurality of entities associated with a network topology, a plurality of relationships between the plurality of entities, and health metrics of the plurality of entities; storing, in a topology log, the network topology information for the individual time periods in association with the health metrics of the plurality of entities for the individual time periods; receiving, via a computer-user interface, a user input selecting a future time period for a future network topology; based on network topology information stored in the topology log, predicting characteristics of the future network topology for the future time period; and generating a graphical user interface (GUI) comprising a visual representation of the future network topology, wherein the GUI comprises graphical elements visually representing a set of entities included in the future network topology, graphical connectors representing relationships between the set of entities, and graphical indicators representing health metrics of the set of entities, wherein the method is performed by at least one device including a hardware processor. ### Claim 2 (depends on 1) The method of claim 1, further comprising: determining a plurality of candidate remediation plans based on the characteristics of the future network topology for the future time period; presenting, via the GUI, one or more selections representing the plurality of candidate remediation plans; receiving a user selection of a first candidate remediation plan of the plurality of candidate remediation plans; determining a remediated network topology by modifying the future network topology using the first candidate remediation plan; and generating an updated GUI visually representing the remediated network topology. ### Claim 3 (depends on 2) The method of claim 2, wherein generating the updated GUI further comprises: based on network topology information stored in the topology log, predicting characteristics of the remediated network topology at the future time period; and modifying the graphical elements visually representing the set of entities included in the future network topology with: updated graphical elements visually representing a set of entities included in the remediated network topology, updated graphical connectors representing relationships between the set of entities in remediated network topology, and graphical indicators representing health metrics of the remediated network topology. ### Claim 4 (depends on 2) The method of claim 2, wherein modifying the graphical elements visually representing the set of entities included in the future network topology further comprises: displaying graphical elements visually representing differences between the future network topology and the remediated network topology. ### Claim 5 (depends on 1) The method of claim 1, wherein the health metrics comprise information of the future network topology associated with one or more of: events, anomalies, and health issues. ### Claim 6 (depends on 1) The method of claim 1, wherein graphical elements comprise color, shape, or position attributes visually indicating performance or anomaly conditions of individual entities of the set of entities. ### Claim 7 (depends on 1) The method of claim 1, wherein: individual entities in the set of entities correspond to a respective entity type of a plurality of entity types; the GUI comprises a plurality of hierarchical layers corresponding to the plurality of entity types; and the graphical elements in the GUI are arranged in the plurality of hierarchical layers based on the respective entity types of the individual entities in the set of entities. ### Claim 8 (depends on 1) The method of claim 1, wherein predicting characteristics of the future network topology for the future time period comprises: receiving, via a client device, a user selection of the future time period; and applying a characteristic prediction model that simulates network behavior of the set of entities included in the future network topology for the future time period based on current topology information, historical topology information, and health metrics. ### Claim 9 A system comprising: one or more hardware processors; one or more non-transitory computer-readable media; and program instructions stored on the one or more non-transitory computer-readable media that, when executed by the one or more hardware processors, cause the system to perform operations comprising: determining network topology information for a plurality of time periods, the network topology information comprising, for individual time periods of the plurality of time periods: a plurality of entities associated with a network topology, a plurality of relationships between the plurality of entities, and health metrics of the plurality of entities; storing, in a topology log, the network topology information for the individual time periods in association with the health metrics of the plurality of entities for the individual time periods; receiving, via a computer-user interface, a user input selecting a future time period for a future network topology; based on network topology information stored in the topology log, predicting characteristics of the future network topology for the future time period; and generating a graphical user interface (GUI) comprising a visual representation of the future network topology, wherein the GUI comprises graphical elements visually representing a set of entities included in the future network topology, graphical connectors representing relationships between the set of entities, and graphical indicators representing health metrics of the set of entities. ### Claim 10 (depends on 9) The system of claim 9, wherein the operations further comprise: determining a plurality of candidate remediation plans based on the characteristics of the future network topology for the future time period; presenting, via the GUI, one or more selections representing the plurality of candidate remediation plans; receiving a user selection of a first candidate remediation plan of the plurality of candidate remediation plans; determining a remediated network topology by modifying the future network topology using the first candidate remediation plan; and generating an updated GUI visually representing the remediated network topology. ### Claim 11 (depends on 10) The system of claim 10, wherein generating the updated GUI comprises: based on network topology information stored in the topology log, predicting characteristics of the remediated network topology at the future time period; and modifying the graphical elements visually representing the set of entities included in the future network topology with: updated graphical elements visually representing a set of entities included in the remediated network topology, updated graphical connectors representing relationships between the set of entities in remediated network topology, and graphical indicators representing health metrics of the remediated network topology. ### Claim 12 (depends on 10) The system of claim 10, wherein modifying the graphical elements visually representing the set of entities included in the future network topology further comprises: displaying graphical elements visually representing differences between the future network topology and the remediated network topology. ### Claim 13 (depends on 9) The system of claim 9, wherein the health metrics comprise information of the future network topology associated with one or more of: events, anomalies, and health issues. ### Claim 14 (depends on 9) The system of claim 9, wherein graphical elements comprise color, shape, or position attributes visually indicating performance or anomaly conditions of individual entities of the set of entities. ### Claim 15 (depends on 9) The system of claim 9, wherein: individual entities in the set of entities correspond to a respective entity type of a plurality of entity types; the GUI comprises a plurality of hierarchical layers corresponding to the plurality of entity types; and the graphical elements in the GUI are arranged in the plurality of hierarchical layers based on the respective entity types of the individual entities in the set of entities. ### Claim 16 (depends on 9) The system of claim 9, wherein predicting characteristics of the future network topology for the future time period comprises: receiving, via a client device, a user selection of the future time period; and applying a characteristic prediction model that simulates network behavior of the set of entities included in the future network topology for the future time period based on current topology information, historical topology information, and health metrics. ### Claim 17 One or more non-transitory computer-readable media comprising instructions that, when executed by one or more hardware processors, cause performance of operations comprising: determining network topology information for a plurality of time periods, the network topology information comprising, for individual time periods of the plurality of time periods: a plurality of entities associated with a network topology, a plurality of relationships between the plurality of entities, and health metrics of the plurality of entities; storing, in a topology log, the network topology information for the individual time periods in association with the health metrics of the plurality of entities for the individual time periods; receiving, via a computer-user interface, a user input selecting a future time period for a future network topology; based on network topology information stored in the topology log, predicting characteristics of the future network topology for the future time period; and generating a graphical user interface (GUI) comprising a visual representation of the future network topology, wherein the GUI comprises graphical elements visually representing a set of entities included in the future network topology, graphical connectors representing relationships between the set of entities, and graphical indicators representing health metrics of the set of entities. ### Claim 18 (depends on 17) The one or more non-transitory computer-readable media of claim 17, wherein the operations further comprise: determining a plurality of candidate remediation plans based on the characteristics of the future network topology for the future time period; presenting, via the GUI, one or more selections representing the plurality of candidate remediation plans; receiving a user selection of a first candidate remediation plan of the plurality of candidate remediation plans; determining a remediated network topology by modifying the future network topology using the first candidate remediation plan; and generating an updated GUI visually representing the remediated network topology. ### Claim 19 (depends on 18) The one or more non-transitory computer-readable media of claim 18, wherein generating the updated GUI comprises: based on network topology information stored in the topology log, predicting characteristics of the remediated network topology at the future time period; and modifying the graphical elements visually representing the set of entities included in the future network topology with: updated graphical elements visually representing a set of entities included in the remediated network topology, updated graphical connectors representing relationships between the set of entities in remediated network topology, and graphical indicators representing health metrics of the remediated network topology. ### Claim 20 (depends on 18) The one or more non-transitory computer-readable media of claim 18, wherein modifying the graphical elements visually representing the set of entities included in the future network topology further comprises: displaying graphical elements visually representing differences between the future network topology and the remediated network topology.