Application Component Workflows Using Distributed Ledger Verification
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Solution Overview
Problem
Conventional server systems face challenges with untrusted data, difficult traceability, security vulnerabilities, and inefficient computing resource usage, particularly in managing complex application frameworks like Jira®, Confluence®, and Trello®.
Innovation Solution
Implementing a distributed ledger system to manage and trigger application component workflows, ensuring data immutability, trust, and transparency through smart contracts and consensus mechanisms, and utilizing a digital asset repository for micro-incentives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional server systems are used to manage application frameworks, then ease of operation is maintained, but data trustworthiness and traceability deteriorate
Solution Approach 1:
A distributed ledger system acts as an intermediary between application frameworks and users/systems. The ledger captures workflow events, stores them as immutable transaction data structures, and provides trusted verification without requiring changes to the underlying application frameworks. This mediator approach enables data trustworthiness while maintaining relative system simplicity.
2Reliability
If distributed ledger systems are implemented to ensure data immutability and traceability, then data quality and trust improve, but device complexity increases
Solution Approach 1:
The system segments functionality between the distributed ledger (handling immutability and traceability) and application frameworks (handling business logic). By dividing responsibilities, the ledger focuses only on capturing workflow events as immutable records, while applications maintain their operational simplicity. This segmentation reduces overall system complexity despite adding ledger functionality.
3Extent of automation
If smart contracts and consensus mechanisms are used to manage workflows, then security and automation improve, but computing resource efficiency deteriorates
Solution Approach 1:
The system applies partial automation through smart contracts that automatically execute predefined workflow actions when conditions are met, while allowing manual intervention for complex decisions. This partial automation approach provides security and automation benefits without requiring full consensus mechanism execution for every workflow event, reducing computing resource consumption.
4Reliability
If distributed ledger consensus protocols are executed for every workflow event, then data trustworthiness improves, but productivity deteriorates
Solution Approach 1:
The system performs preliminary verification by validating workflow events against smart contract rules before adding them to the distributed ledger. This preliminary action ensures data trustworthiness through verification while avoiding the need for full consensus protocol execution for every event, thereby maintaining workflow processing speed and productivity.
Data Source
AI summary
Methods, apparatuses, or computer program products provide for triggering application component workflows based on a distributed ledger. A candidate transaction associated with a defined workflow action for an application component is detected based at least on monitoring a workflow event stream. A candidate transaction data structure for the candidate transaction is also generated in accordance with one or more candidate transaction attributes of the candidate transaction. Additionally, execution of a smart contract of a distributed ledger is caused to add the candidate transaction data structure to the distributed ledger and a workflow for the application component is triggered based on the candidate transaction data structure being added to the distributed ledger.