Locality and Time-Based Dependency Qualifiers in Cluster Resource Management
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Solution Overview
Problem
Current cluster management systems lack fine-grained control over dependency relationships between resources, leading to inefficiencies in managing resource availability and failover processes in high availability clusters.
Innovation Solution
The introduction of locality and time-based qualifiers for declaring dependency relationships between resources, allowing for precise control over when and where resources are brought online or offline, using graphical user interfaces, property lists, or configuration files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ad-hoc dependency management methods are used, then implementation simplicity is maintained, but fine-grained control over resource dependencies is lost
Solution Approach 1:
The patent segments dependency management into distinct components: dependency declarations, locality qualifiers, time qualifiers, and monitoring mechanisms. This allows fine-grained control over resource dependencies while maintaining implementation simplicity through modular design.
Solution Approach 2:
The patent introduces dynamic dependency management where dependencies can be declared, modified, and monitored in real-time. The system dynamically adjusts resource allocation based on declared dependencies and their qualifiers, enabling fine-grained control without static complexity.
2Reliability
If resources are started or restarted frequently to maintain availability, then service availability is improved, but system efficiency deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-declaring dependency relationships and their qualifiers before resource failures occur. This allows the system to proactively manage resource startup sequences, ensuring availability while avoiding unnecessary frequent restarts through intelligent dependency resolution.
Solution Approach 2:
The patent implements feedback mechanisms that monitor resource states and dependency satisfaction. This feedback loop enables the system to make informed decisions about resource startup, improving availability while optimizing efficiency by avoiding unnecessary restarts when dependencies are already satisfied.
3Device complexity
If coarse-grained dependency management is used, then system complexity is reduced, but resource allocation precision is lost
Solution Approach 1:
The patent applies local quality by introducing locality qualifiers that specify the scope and nature of dependencies at different levels. This allows precise control over resource allocation for specific dependencies while maintaining a simple overall system structure through hierarchical organization.
Solution Approach 2:
The patent uses parameter changes by introducing time qualifiers and locality qualifiers as adjustable parameters for dependency management. These parameters enable precise resource allocation control without increasing fundamental system complexity, as they are configurable attributes rather than structural additions.
Data Source
AI summary
A method, apparatus, and system are directed toward configuring a dependency relationship between resources in a cluster. A dependency relationship between a dependent in a first resource group and a dependee in a second resource group is declared. The dependency relationship might include a locality based qualifier and/or a time based qualifier. The locality based qualifier includes a Local Node, Any Node, or From Resource Group Affinity relationship. The time based dependency qualifier includes a Strong dependency, Weak dependency, Online Restart dependency, or Offline Restart dependency. The declaration might be made using a graphical user interface, property list, configuration file, or the like. A candidate node on which to activate the first resource group is determined. The dependent is brought online on the candidate node based on whether an instance of the dependee is online on a node specified by the locality based qualifier.