Processing Flow Signatures for Server Component Risk
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Solution Overview
Problem
Server systems face challenges in monitoring and analyzing component changes within processing flows due to lack of visibility into underlying components, their performance, and the risk associated with constant changes, especially as the number of components increases, leading to difficulties in detecting changes and identifying points of failure.
Innovation Solution
The implementation of component-based risk evaluation techniques using processing flow signatures, where component identifier values are used to create flow identifier values and processing flow signature values through hash operations, allowing for real-time monitoring and analysis of changes in processing flows, thereby providing improved visibility and risk quantification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of components in the server system increases to support various computing operations, then the service capability and versatility are improved, but the difficulty of monitoring and analyzing component changes increases
Solution Approach 1:
The patent introduces processing flow signatures as an intermediary mechanism that indirectly represents component states and changes. Instead of directly monitoring each component, the system generates signatures that encapsulate component information, making it easier to track and analyze changes in complex processing flows without being overwhelmed by the sheer number of individual components.
Solution Approach 2:
The patent creates simplified copies or representations of processing flows through signatures. These signatures capture essential characteristics of component combinations without requiring direct observation of each component, enabling efficient monitoring and analysis while reducing the complexity associated with tracking numerous individual components.
2Adaptability or versatility
If component-based processing flows are used to support various computing operations, then the flexibility and functionality are improved, but the visibility into underlying components and their performance deteriorates
Solution Approach 1:
Processing flow signatures serve as intermediary representations that preserve essential information about component combinations and their performance characteristics. These signatures maintain visibility into underlying components by encoding relevant state information in a manageable format that doesn't lose critical performance insights.
Solution Approach 2:
The patent merges information from multiple components into unified processing flow signatures. By combining component identifiers, states, and performance metrics into single signature representations, the system maintains comprehensive visibility while reducing information dispersion across numerous individual components.
3Productivity
If the number of shared components increases to support multiple processing flows, then the resource utilization efficiency is improved, but the complexity of identifying points of failure increases
Solution Approach 1:
The patent creates signature copies that represent shared component usage across multiple processing flows. These signatures provide simplified views of component states, enabling efficient identification of failure points without requiring complex analysis of each individual component instance across different flows.
Solution Approach 2:
The system implements feedback mechanisms through signature analysis that automatically identify and report component failures. By continuously monitoring processing flow signatures and comparing them against expected states, the system provides feedback that highlights points of failure in shared components, reducing the complexity of troubleshooting despite increased component sharing.
Data Source
AI summary
Techniques are disclosed relating to identity-based risk evaluation using risk scores for different identities. The disclosed techniques include a server system that provides a service usable to perform computing operations for requesting users. The system may receive a request to perform a particular computing operation from a client device. Based on a name of a user associated with the request, the system assigns an first type of identity that is a birthright identity to the user. Based on details of the request, the system assigns additional identities to the user that are different identity types than the first type of identity. The system may score, based on accessing a risk score database storing known risk information associated with different identity types, the first type of identity and the additional identities. The system may generate a response based on the scoring and transmit the response to the client device.