Dependency Chart Generation for Cluster Command Sequencing
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Solution Overview
Problem
The management of complex computer clusters is challenging due to the complexity of dependency relationships between components, which can lead to issues such as hardware deterioration and data loss from overheating, necessitating improved administration command processing methods.
Innovation Solution
A method that generates a dependency chart based on identified components and dependency rules, allowing for the creation of a sequence of instructions that satisfies constraints for executing administration commands, facilitating efficient and safe cluster management by identifying and executing actions in a controlled order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual or direct administration commands are used to manage cluster components, then operational control is maintained, but the complexity of managing dependency relationships increases and execution time increases
Solution Approach 1:
The patent applies preliminary action by automatically generating a dependency chart before executing administration commands. The system identifies all components and their interdependencies in advance, creates a structured execution plan, and then follows this plan during command execution. This pre-planning approach resolves the contradiction by reducing the perceived complexity during execution while maintaining high productivity through automated dependency tracking.
Solution Approach 2:
The dependency chart serves as an intermediary structure between the administration command and the actual component execution. Rather than directly managing complex component relationships, the system uses the dependency chart as a mediating representation that simplifies the management of dependencies. This intermediary structure allows efficient command processing while automatically handling the complexity of inter-component relationships.
2Reliability
If comprehensive dependency checking is performed for all cluster components, then execution correctness is improved, but execution time increases
Solution Approach 1:
The patent segments the dependency checking process by organizing components into a hierarchical dependency chart structure. Rather than checking all components uniformly, the system divides the cluster into manageable segments based on dependency relationships. This segmentation allows the system to perform comprehensive dependency verification while optimizing execution time by processing segments in a structured order and identifying independent components that can be processed in parallel.
Solution Approach 2:
The dependency chart is dynamically generated and updated based on the specific administration command being executed. The system adapts the dependency checking process to the actual needs of each command, checking only the relevant dependency paths rather than performing static comprehensive checks on all components. This dynamic approach maintains high reliability by checking necessary dependencies while reducing execution time by avoiding unnecessary checks.
3Ease of operation
If the number of administration commands is reduced through automation, then ease of operation is improved, but the complexity of the automation system increases
Solution Approach 1:
The system applies self-service by automatically generating and executing the dependency chart without requiring manual intervention. The automation system identifies components, determines dependencies, creates the execution plan, and carries out the commands autonomously. This self-service capability simplifies operation for users while the system internally manages the complexity of dependency analysis and command orchestration, resolving the contradiction between ease of operation and system complexity.
Data Source
AI summary
The disclosure relates in particular to the processing of commands targeting at least one element of a cluster including a plurality of elements, the at least one element having a link of dependency according to the at least one command with at least one other element. After having identified the at least one element and at least one dependency rule from the at least one command, a dependency graph is generated from the at least one identified element, by applying the at least one identified dependency rule, the dependency graph including peaks representing at least the element and the at least one other element, an action linked with the at least one command being associated with the peaks of the dependency graph. A sequence of instructions is then generated from the dependency graph.