Stack-Based Resource Management for Distributed Computing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Managing distributed applications in cloud computing environments is challenging due to dispersed resources and complex dependencies between layers, making dynamic configuration management difficult and effective performance maintenance hard to achieve.
Innovation Solution
A stack-based resource management system that uses a distributed computing environment protocol stack with multiple layers, identifying and resolving inter-layer dependencies to configure resources effectively, and storing configuration change records for rollback operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are dispersed across multiple computing nodes in a distributed computing environment, then resource sharing efficiency and scalability are improved, but management complexity and difficulty of configuration coordination increase
Solution Approach 1:
The patent segments the distributed computing resources into a hierarchical protocol stack with multiple layers (physical layer, virtualization layer, operating system layer, application layer). Each layer manages specific resources independently, breaking down the complex distributed resource management into manageable segments that can be configured and monitored separately, thus reducing overall management complexity while maintaining resource sharing efficiency
Solution Approach 2:
The patent introduces a resource management tool as an intermediary that operates at the protocol stack level to coordinate configuration changes across multiple computing nodes. This intermediary automatically identifies and resolves inter-layer dependencies, managing the complexity of dispersed resources without requiring direct manual coordination between nodes, thereby maintaining productivity while reducing management burden
2Adaptability or versatility
If configuration changes are made to resources in distributed computing environments, then adaptability and responsiveness to changing requirements are improved, but system stability and reliability may be compromised due to complex inter-layer dependencies
Solution Approach 1:
The patent implements preliminary action by automatically identifying all inter-layer dependencies before executing configuration changes. The resource management tool traverses the protocol stack to detect dependent resources across computing nodes and coordinates their configuration in the correct sequence. This preliminary dependency analysis ensures that configuration flexibility is maintained while system stability is preserved through coordinated changes
Solution Approach 2:
The patent employs feedback mechanisms where the resource management tool continuously monitors configuration states and dependency relationships across the distributed system. When configuration changes are made, the system provides feedback about affected resources and adjusts subsequent configuration actions accordingly. This feedback loop ensures adaptability to changing requirements while maintaining reliability through real-time system state awareness
3Ease of manufacture
If manual configuration management is used for dispersed resources, then implementation simplicity is maintained, but time consumption and operational efficiency deteriorate
Solution Approach 1:
The patent implements self-service by enabling the resource management tool to automatically configure dispersed resources across the distributed computing environment. The tool independently identifies resources, determines configuration requirements, and executes configuration changes without requiring manual intervention for each resource. This automation dramatically reduces time consumption while maintaining implementation simplicity through a unified management interface
Solution Approach 2:
The patent creates a universal resource management tool that can handle multiple types of resources (compute, storage, network) across different layers of the protocol stack and multiple computing nodes through a single interface. This multi-functional approach eliminates the need for separate manual configuration processes for each resource type, reducing time consumption while preserving ease of operation through a consistent universal interface
4Speed
If inter-layer dependencies are not properly resolved, then configuration speed is improved, but configuration accuracy and completeness deteriorate
Solution Approach 1:
The patent applies preliminary action by performing automated dependency resolution before configuration execution. The resource management tool traverses the protocol stack to identify all inter-layer dependencies and determines the correct configuration sequence in advance. This preliminary analysis enables fast configuration execution while ensuring accuracy, as the system already knows the proper order of operations and affected resources before making changes
Data Source
AI summary
A stack-based resource management system includes a computer-executed tool for managing the resources used to execute a distributed application. The tool uses a distributed computing environment protocol stack having multiple layers that each represents one or more resources used to execute a distributed application. The resources in each layer have one or more inter-layer dependencies to one or more resources of an adjacent layer. When the tool receives configuration instructions to configure one or more resources, it configures that resource, and identifies one or more inter-layer dependencies to resources in adjacent layers to configure those resources in the adjacent layers. The tool then sequentially traverse up and down the adjacent layers of the protocol stack to resolve any of the dependencies among the resources of each adjacent layer of the protocol stack.