Distributed Application Operation Records for Web3 Execution Traceability
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Solution Overview
Problem
In Web3 applications, tracking the execution of distributed applications is challenging due to the lack of a central server, making it difficult to monitor operational behavior, performance, and troubleshoot issues, especially in cross-chain environments.
Innovation Solution
An operation record is created and included in each transaction of a distributed application execution, allowing for the collection and analysis of transaction metadata to generate a longitudinal history, identifying entities and timestamps, and enabling troubleshooting and performance monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed applications execute without a central server to maintain decentralization, then the decentralization and security of Web3 applications is improved, but the ability to track execution and monitor operational behavior deteriorates
Solution Approach 1:
The patent introduces operation records as intermediary elements that are embedded within distributed application executions. These records contain unique identifiers that allow tracking of execution flow across multiple transactions and nodes without requiring a central server. The operation records act as mediators between the decentralized execution environment and the monitoring system, enabling traceability while preserving decentralization.
Solution Approach 2:
The system implements feedback mechanisms by collecting operation records from various nodes and transactions, then analyzing them to generate longitudinal histories of execution. This feedback loop allows the system to monitor operational behavior, identify performance issues, and troubleshoot problems while maintaining the decentralized architecture. The feedback is achieved through data aggregation and analysis rather than centralized control.
2Loss of information
If transaction metadata is collected and analyzed across multiple nodes to generate longitudinal history, then the traceability of computing tasks is improved, but the complexity of data collection and processing increases
Solution Approach 1:
The patent segments the traceability system into independent components: operation records embedded in individual transactions, node-specific data collection, and distributed analysis. Each node collects and stores operation records independently, and the longitudinal history is generated by aggregating these segmented records. This segmentation reduces the complexity of any single node's data collection system while maintaining overall traceability.
Solution Approach 2:
The system performs preliminary action by embedding operation records with unique identifiers into transactions before they are executed and propagated across the network. This preliminary tagging of transactions with traceable identifiers simplifies subsequent data collection and analysis, as the tracking information is already in place and does not require complex real-time generation or correlation.
3Difficulty of detecting and measuring
If operation records are embedded in each transaction to enable monitoring, then the observability of distributed applications is improved, but the overhead of transaction processing increases
Solution Approach 1:
The patent uses copying by creating compact operation record structures that are embedded in or associated with transactions. These records contain essential traceability information (unique identifiers, node information, timestamps) in a condensed format that minimizes the overhead added to each transaction. The copying approach allows multiple nodes to share and analyze the same operation record data without duplicating the entire transaction payload.
Data Source
AI summary
A method, computer system, and computer program product are provided for providing traceability and observability for decentralized applications. A plurality of transaction metadata records are obtained corresponding to a plurality of transactions related to execution of a computing task by a decentralized application, wherein each transaction metadata record includes a same operation record that identifies the computing task, and an actor identifier that indicates an identity of an entity involved in a particular transaction of the plurality of transactions. A longitudinal history of the execution of the computing task is generated that identifies the entity involved in each transaction based on the plurality of transaction metadata records. An operational state of one or more entities is determined based on comparing the longitudinal history of the execution of the computing task to data relating to a different computing task.