Interposition Layer for Distributed System Bug Detection

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Solution Overview

Problem

Distributed systems are challenging to test due to complex interactions and unpredictable failures, making it difficult to identify and reproduce bugs, especially those that occur in rare events, with current methods like random testing and log analysis being ineffective.

Innovation Solution

A distributed system checker with an interposition layer between processes and the operating system simulates deterministic events such as machine crashes and network partitions to detect bugs, using model checking techniques and bounding heuristics to explore system states efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If random testing techniques (network simulation, end-to-end testing, log analysis) are used to test distributed systems, then the testing process can be implemented with existing tools, but the ability to find rare bugs and reproduce them is ineffective

Engineering Contradiction:
Improveease of testing implementationVSAvoidbug detection reliability
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The patent introduces an interposition layer as an intermediary between the distributed system and the testing framework. This layer enables systematic control and simulation of events without modifying the original system code, allowing reliable bug detection while maintaining ease of implementation through a modular architecture that sits transparently in the system execution path

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If traditional model checkers are used to find errors in distributed systems, then systematic error detection can be achieved, but the requirement for abstract models makes the process costly and error-prone

Engineering Contradiction:
Improveerror detection capabilityVSAvoidmodel specification complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts the model specification requirement from the error detection process by using an interposition layer that operates on actual system executions rather than abstract models. The layer captures runtime behavior directly, eliminating the need for costly and error-prone model specification while maintaining systematic error detection through actual system state exploration

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of requiring abstract models, the patent creates a runtime copy of system behavior through the interposition layer. This layer instruments the actual execution traces, capturing real system states and transitions without requiring a separate abstract model specification, thereby simplifying the approach while maintaining detection reliability

Inventive Principle:
Principle #26Copying

3Reliability

If distributed systems are designed to handle all possible events including rare events, then system robustness is improved, but the complexity of the system increases

Engineering Contradiction:
Improvesystem robustnessVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by systematically preparing and executing test scenarios that include rare events before they occur in production. The interposition layer pre-simulates various failure modes and edge cases, allowing the system to be validated for robustness handling without increasing the complexity of the system's operational logic

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS7984332B2Distributed system checker
Publication Date: 2011.07.19 MICROSOFT TECHNOLOGY LICENSING LLC
  • US7984332B2 patent drawing
  • US7984332B2 patent drawing
  • US7984332B2 patent drawing

AI summary

A distributed system checker may check a distributed system against events to detect bugs in the distributed system. The events may include machines crashes, network partitions, and packet losses, for example. The distributed system checker may check a distributed system that can have multiple threads and multiple processes running on multiple nodes. To obtain control over a distributed system, a distributed system checker may insert an interposition layer between a process and the operating system on each node.