RDMA Resource Leak Detection Using Hierarchical Data Structures

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Solution Overview

Problem

RDMA architectures face challenges in detecting and addressing resource leaks, which can lead to memory leaks, error propagation, and complex error recovery issues, often requiring time-consuming and resource-intensive procedures to identify and resolve.

Innovation Solution

The implementation of a method that generates user space and kernel space RDMA resource hierarchical data structures to detect and report resource leaks by tracking parent-child relationships using red-black trees and linked-lists, enabling early detection and notification of resource leaks and ensuring proper resource deallocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If RDMA resource hierarchical data structures are implemented to track parent-child relationships, then resource leak detection capability is improved, but device complexity increases

Engineering Contradiction:

Improveresource leak detection capabilityVSAvoiddata structure complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the RDMA resource tracking system into separate hierarchical data structures for user space and kernel space. Each space maintains its own red-black tree structure, allowing independent tracking and detection without requiring a monolithic complex system. This segmentation enables targeted resource leak detection while managing overall system complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a hierarchical dimension to RDMA resource tracking by implementing parent-child relationship trees. Resources are organized in multiple levels where parent resources can have multiple child resources, creating a tree-based hierarchical structure. This dimensional organization enables systematic detection of resource leaks by traversing the hierarchy and identifying orphaned child resources.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Measurement precision

If comprehensive resource tracking is performed using red-black trees and linked-lists, then measurement precision of resource states is improved, but use of energy and computational resources increases

Engineering Contradiction:

Improveresource state tracking accuracyVSAvoidcomputational resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The red-black tree data structure provides self-balancing properties that automatically maintain optimal search and traversal performance without requiring external intervention. The tree structure self-adjusts to keep height logarithmic, ensuring that resource tracking operations remain efficient even as the number of RDMA resources grows, thereby reducing computational overhead.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces traditional linear resource tracking mechanisms with red-black tree structures, which provide O(log n) time complexity for insertion, deletion, and search operations. This substitution of data structure mechanics significantly improves measurement precision for resource state tracking while reducing computational energy consumption compared to linear or unoptimized approaches.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If resource leak detection is performed by traversing user space RDMA resource hierarchical data structure, then detection completeness is improved, but loss of time increases

Engineering Contradiction:

Improvedetection completenessVSAvoiddetection time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent performs preliminary organization of RDMA resources into hierarchical data structures during resource allocation and deallocation operations. By maintaining updated parent-child relationship trees as resources are created and destroyed, the system prepares the data structure in advance, enabling rapid traversal and detection when needed without performing comprehensive scans of all resources.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms where the hierarchical data structure continuously reflects the current state of RDMA resources. When resources are allocated or deallocated, the tree structure is automatically updated, providing real-time feedback on resource relationships. This enables efficient detection by comparing the current tree state against expected resource patterns without requiring full system scans.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS8918545B1RDMA resource leakage detection and reporting

Publication Date: 2014.12.23 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Mechanisms are provided for remote direct memory access (RDMA) resource leak detection. A user space context is generated comprising a user space RDMA resource hierarchical data structure. A kernel context is generated comprising a kernel RDMA resource hierarchical data structure. The kernel RDMA resource hierarchical data structure comprises nodes of the users space RDMA resource hierarchical data structure. A request to close a RDMA resource is received and the user space RDMA resource hierarchical data structure is traversed to determine whether the RDMA resource has child RDMA resources allocated in the user space RDMA resource hierarchical data structure. A resource leak is detected in response to determining, based on at least one of the user space RDMA resource hierarchical data structure or the kernel RDMA resource hierarchical data structure, that the RDMA resource has a child RDMA resource allocated in the user space RDMA resource hierarchical data structure.