Distributed Server Application Compliance Assessment
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Solution Overview
Problem
Existing application control systems face challenges in efficiently and securely managing and validating compliance of applications across a network environment, particularly in large-scale systems where accurate and secure data processing and validation are critical.
Innovation Solution
A distributed server system utilizing a private distributed ledger with a consensus algorithm, where each node submits input data weighted based on its identity, generating a composite score to assess compliance against predefined thresholds, and dynamically adjusting thresholds as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distributed server system with weighted node inputs is used, then the reliability and accuracy of application compliance assessment is improved, but the device complexity and computational overhead increase
Solution Approach 1:
The system divides the compliance assessment function across multiple decentralized nodes in a distributed network. Each node independently validates application data against compliance requirements and contributes a weighted assessment to the overall determination, eliminating single-point failure and improving reliability through distribution.
Solution Approach 2:
The system dynamically adjusts the weight parameters assigned to different nodes based on their identity, reputation, or validation capability. This parameter change allows the system to optimize assessment reliability by giving higher weights to more trustworthy or specialized nodes while managing computational complexity through selective weighting.
2Measurement precision
If multiple nodes provide weighted inputs for validation, then the measurement precision of compliance assessment is improved, but the loss of time for data aggregation and consensus increases
Solution Approach 1:
Nodes perform preliminary validation of application data locally before contributing to the consensus process. Each node independently checks compliance requirements and prepares weighted assessments in advance, reducing the time needed for central aggregation and consensus reaching while maintaining high measurement precision.
Solution Approach 2:
The system allows nodes to contribute partial assessments based on their specific validation capabilities rather than requiring complete validation from all nodes. This partial action approach enables faster consensus by accepting sufficient validated inputs without waiting for all nodes to complete full validation cycles.
3Reliability
If a private distributed register is used to store compliance data, then the security and data integrity are improved, but the device complexity and storage requirements increase
Solution Approach 1:
The system creates and maintains identical copies of the compliance register across multiple distributed nodes. Each node stores a complete or partial copy of the register, ensuring data integrity through replication while distributing storage requirements across the network rather than concentrating them in a single location.
Solution Approach 2:
Different nodes in the distributed system store different portions or types of compliance data in the register based on their local capabilities and requirements. This local quality approach allows each node to optimize its storage implementation while contributing to the overall security and integrity of the distributed register.
Data Source
AI summary
A system for application control using distributed servers is provided. In particular, the system may comprise a distributed computing network comprising one or more decentralized nodes. Each decentralized node may store a copy of a private distributed register comprising data records associated with one or more applications which may be subject to one or more rules. In this regard, each node may provide inputs to the private distributed register with respect to a certain data record, where each input may be given a unique weight based on the node submitting the input. The system may then run an algorithm to validate the inputs. In this way, the system may provide a secure way to perform management and control of applications used within the network environment.