Application Session Call Stack Unique Identifier Embedding
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Solution Overview
Problem
Analytical systems face challenges in cross-referencing call stacks and metadata across multiple client devices, leading to inaccurate and inefficient analysis of application failures due to siloed data approaches, resulting in incomplete and inaccurate analytical results.
Innovation Solution
A stack identifier system generates an application session call stack with a unique identifier that cross-references call stack data with other metadata, allowing for flexible, accurate, and efficient analysis by sequentially initializing application functions and writing outputs to the call stack, thereby combining diverse data sets for comprehensive analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If analytical systems analyze call stack data and metadata separately in silos, then the analysis process is simple to implement, but the analytical results are incomplete and inaccurate
Solution Approach 1:
The patent merges call stack data and metadata into a unified analysis framework by embedding a unique identifier within the call stack data structure. This allows previously siloed data types to be cross-referenced and analyzed together, improving analytical accuracy while maintaining manageable system complexity through structured integration.
Solution Approach 2:
The unique identifier embedded in the call stack serves multiple functions: it acts as a primary key for the call stack record, a foreign key for cross-referencing metadata, and an index for efficient data retrieval. This multi-functional element enables comprehensive analysis without requiring separate complex systems for each data type.
2Productivity
If analytical systems separately analyze different types of data, then the processing approach is straightforward, but computational resources are wasted and efficiency is reduced
Solution Approach 1:
The system performs preliminary actions by embedding the unique identifier into the call stack data structure during data collection. This pre-structuring enables efficient cross-referencing and eliminates the need for repetitive separate analyses, reducing computational waste and improving analysis efficiency.
Solution Approach 2:
The unique identifier acts as an intermediary element that connects call stack data with metadata. This mediator enables efficient cross-referencing between data types, allowing the system to retrieve and analyze related data together without redundant processing, thus improving productivity and reducing computational energy loss.
3Loss of information
If call stack data and metadata are stored separately without cross-referencing, then data storage is simpler, but data correlation and comprehensive analysis become impossible
Solution Approach 1:
The patent implements a nested data structure where the unique identifier is embedded within the call stack data record. This nesting allows metadata to be cross-referenced through the embedded identifier, ensuring data completeness and enabling comprehensive analysis while maintaining a structured and manageable data organization that doesn't overly complicate the system.
Data Source
AI summary
The disclosed computer-implemented method may include systems and methods for embedding specific data into a call stack associated with an application session. For example, the systems and methods described herein can initialize a program thread that sequentially executes specialized application functions based on characters of a unique identifier to embed the unique identifier within a call stack of the application session. The systems and methods further provide the unique identifier in connection with other data sources associated with the application session such that further analysis of all data associated with the application session may be cross-referenced according to the unique identifier. Various other methods, systems, and computer-readable media are also disclosed.