Analysis Server Abstracting Control Flow in Distributed Virtualization
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Solution Overview
Problem
There is a need for better understanding and visualization of the flow of control in distributed component software systems, particularly in distributed virtualization platforms like Cloud Foundry, to improve developer insights, software tracking, and resilience testing.
Innovation Solution
An analysis server receives messages between components, resolves source and target components, determines the sequence of messages, and generates a human-understandable abstract of the control flow, enabling improved documentation and testing of distributed systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If message interception and analysis is implemented to visualize control flow, then understanding and documentation of distributed systems improves, but system complexity and overhead increase
Solution Approach 1:
An analysis server is introduced as an intermediary component that intercepts, analyzes, and visualizes control flow messages between distributed system components. This mediator captures messages exchanged through the message bus, resolves component identities, determines message sequences, and generates human-readable abstracts without requiring fundamental changes to the existing distributed system architecture.
2Measurement precision
If detailed message tracking and sequencing is performed, then control flow understanding improves, but processing overhead and time consumption increase
Solution Approach 1:
The analysis server creates copies of control flow messages for analysis while allowing the original messages to continue flowing through the distributed system without interruption. By working with message copies, the system achieves precise control flow tracking and sequencing without adding processing delays to the actual business logic execution.
3Adaptability or versatility
If automatic abstraction and documentation is generated, then developer insights and testing capabilities improve, but computational resources and processing load increase
Solution Approach 1:
The analysis server automatically generates human-readable abstracts and documentation of control flow sequences by processing intercepted messages independently. The system performs self-service by resolving component identities, determining message sequences, and producing documentation without requiring manual intervention from developers, thereby reducing the need for extensive computational resources while maintaining high adaptability.
Data Source
AI summary
A distributed component software system that includes an analysis server that: (i) receives a set of messages, where each message is sent between components of a distributed component software system (DCSS), and where each message includes an identification of a respective source component, an identification of a respective target component and respective message content; (ii) for each message of the set of received messages, resolves the respective source component; (iii) for each message of the set of received messages, resolves the respective source component; (iv) determines a sequence of the plurality of messages; and (v) generates a human-understandable abstract corresponding to the set of received messages based upon the respective message sources, the respective message targets, the respective message content and the sequence of the set of received messages.