Dependency-Aware Shutdown Sequencing for Networked Systems
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Solution Overview
Problem
Shutting down a networked computer system with complex interdependencies between subsystems can be time-consuming and risky, leading to data integrity issues and inefficient restarts.
Innovation Solution
A method involving analyzing the system, determining a priority order for nodes, constructing a dependency tree, and iteratively modifying shutdown intervals to optimize the shutdown process, minimizing forced shutdowns and ensuring data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a complex mainframe shutdown is performed following traditional sequential methods, then data integrity is maintained through proper dependency handling, but the shutdown time becomes excessively long (tens of minutes)
Solution Approach 1:
The system performs preliminary analysis of the system architecture to construct a dependency tree before shutdown begins. This pre-planning identifies all nodes and their dependencies, allowing the shutdown process to proceed efficiently without real-time decision-making delays while ensuring data integrity through pre-validated shutdown sequences.
Solution Approach 2:
The shutdown process is segmented into independent phases: dependency analysis, priority ordering, interval determination, and execution. Each phase handles specific tasks independently, allowing parallel processing where possible and reducing overall shutdown time while maintaining proper dependency management for data integrity.
2Loss of time
If shutdown priority ordering is implemented to accelerate the process, then shutdown time is reduced, but the complexity of determining correct shutdown sequences increases
Solution Approach 1:
A dependency tree structure serves as an intermediary between the complex system architecture and the shutdown execution process. This tree automatically captures and represents all dependency relationships, transforming the complex shutdown sequencing problem into a straightforward traversal of the pre-built tree structure, thereby reducing execution complexity.
Solution Approach 2:
The system implements iterative feedback loops during dependency analysis and interval determination. The dependency tree is constructed and validated through multiple iterations, with each iteration refining the shutdown sequence and intervals based on feedback from dependency analysis, ensuring correctness without requiring complex manual intervention during execution.
3Ease of operation
If automated shutdown tools are used to manage complex subsystem dependencies, then operational ease is improved, but the shutdown process becomes slower due to comprehensive dependency checking
Solution Approach 1:
The automated tool performs comprehensive dependency analysis and constructs the dependency tree before shutdown begins. This preliminary action captures all subsystem relationships in advance, allowing the actual shutdown execution to proceed rapidly by simply following the pre-determined sequence without real-time dependency checking delays.
Solution Approach 2:
The system dynamically determines shutdown intervals between nodes based on their positions in the dependency tree and their specific shutdown types. Rather than using fixed intervals or sequential delays, the system adaptively calculates optimal intervals that respect dependencies while minimizing total shutdown time, balancing automation efficiency with comprehensive dependency management.
Data Source
AI summary
A method, computer system, and a computer program product are provided for managing an accelerated shutdown of a networked system having a having a plurality of nodes. The system to be shutdown is analyzed and a priority order is determined for the nodes. An interval period is also determined between each node according to the priority order. A leaf node set is constructed according to different shutdown types required for each node and a dependency tree is constructed by analyzing the leaf node sets. Each node is then shutdown according to the tree and the interval period determined. The dependency tree and the interval period is iteratively modified during the node shutdown until all nodes and ultimately the system shutdown has been completed.