Network Node Memory Utilization Analysis via Logical Attribution
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Solution Overview
Problem
Network configurations in large data center networks are complex and prone to errors, leading to inconsistencies that are difficult to identify and can cause significant problems, as the configurations defined on a centralized controller may not accurately reflect the intended behavior on network nodes.
Innovation Solution
A network assurance appliance is configured to query nodes for hardware level entries associated with concrete level network rules, identify logical level network intent, and attribute these entries to logical level components, enabling detailed analysis and reporting of memory usage and configuration inconsistencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network configurations are defined at a centralized controller for large data center networks, then network management and control are simplified, but configuration errors and inconsistencies become extremely difficult to identify and can create significant problems
Solution Approach 1:
The patent implements a feedback mechanism where the actual network node configurations are collected and compared against the intended controller configurations. This feedback loop enables automatic detection of configuration drift and inconsistencies, allowing operators to identify and correct errors while maintaining centralized management benefits.
Solution Approach 2:
The patent introduces an intermediary configuration verification system that acts as a mediator between the centralized controller and network nodes. This intermediary automatically validates configurations, performs consistency checks, and reports discrepancies, thereby detecting errors without complicating the centralized management architecture.
2Measurement precision
If detailed hardware level entries are tracked and attributed to logical level components, then configuration inconsistencies can be identified and memory usage analyzed, but system complexity and data processing requirements increase
Solution Approach 1:
The patent applies dimensional analysis by mapping hardware-level memory entries to logical-level network components across multiple abstraction dimensions. This enables precise memory attribution without requiring complex cross-layer correlations, as the patent structures data to naturally align hardware resources with their logical counterparts through a hierarchical mapping approach.
Solution Approach 2:
The patent creates simplified copies or representations of hardware level entries at the logical level, allowing analysis of memory usage without directly manipulating complex hardware data structures. This copying approach enables precise measurement while reducing system complexity by working with abstracted representations rather than raw hardware details.
Data Source
AI summary
Systems, methods, and computer-readable media analyzing memory usage in a network node. A network assurance appliance may be configured to query a node in the network fabric for a number of hardware level entries, stored in memory for the node, that are associated with a concrete level network rule. The network assurance appliance may identify a logical level network intent associated with the concrete level network rule, identify a logical level component of the logical level network intent, and attribute the number of hardware level entries to the logical level component.