Augmented Network Topology for Container Workload Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In data center deployments, the complex and ever-changing topology of physical and virtual components makes it difficult to map container workloads to the physical resources serving them, impeding troubleshooting and other important tasks.
Innovation Solution
A method and system that determine the network topology of a data center, identify containers, and generate an augmented network topology by correlating container information with physical resources, using link layer discovery protocols to build a hierarchical topology indicating relationships among containers and physical resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional network monitoring methods are used in complex data center topologies, then basic network connectivity can be monitored, but mapping container workloads to physical resources becomes difficult or impossible
Solution Approach 1:
The patent segments the complex data center monitoring task into distinct layers: physical infrastructure monitoring, virtual resource monitoring, and container workload monitoring. By breaking down the monolithic monitoring approach into modular segments that can be independently managed and correlated, the system achieves precise workload-to-physical-resource mapping even in complex topologies.
Solution Approach 2:
The patent introduces intermediary components including agents deployed on physical hosts, virtualization management interfaces, and container orchestration APIs. These intermediaries bridge the gap between physical infrastructure and container workloads, enabling accurate mapping by translating and correlating data across different abstraction layers.
2Loss of information
If comprehensive monitoring of all physical and virtual components is implemented, then complete visibility into data center resources is achieved, but the complexity of managing and visualizing this data increases significantly
Solution Approach 1:
The patent merges physical infrastructure monitoring data with virtual resource and container workload information into a unified augmented topology view. This consolidation presents comprehensive visibility in an integrated manner, eliminating the need to separately manage multiple complex monitoring systems while maintaining complete visibility across all layers.
Solution Approach 2:
The patent adds an augmented dimension to traditional network topology visualization by overlaying container workload information, resource utilization metrics, and workload-to-physical-resource mappings. This multi-dimensional presentation allows comprehensive monitoring data to be visualized in context without increasing apparent complexity.
3Productivity
If manual troubleshooting methods are used in complex containerized environments, then basic issues can be identified, but locating problematic workloads and their physical resources becomes time-consuming
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor container workload performance, resource utilization, and physical infrastructure status. When anomalies are detected, the system automatically traces and reports the chain of dependencies from container through virtualization layers to physical resources, enabling rapid troubleshooting without manual investigation.
Solution Approach 2:
The patent pre-establishes and maintains augmented topology mappings that document the complete chain of dependencies between containers, virtual machines, physical hosts, and network resources before issues occur. This preliminary structuring of information enables immediate troubleshooting by simply querying the pre-built topology data when problems arise.
Data Source
AI summary
Techniques for container management and topology visualization are provided. A network topology of a data center is determined, where the network topology includes a plurality of physical servers. A plurality of containers executing in the data center is identified, and for each respective container of the plurality of containers, a respective server from the plurality of physical servers that is executing the respective container is determined. An augmented network topology is generated by correlating the network topology and the determined server executing each container, where the augmented network topology indicates relationships among the plurality of containers and physical resources in the data center.


