Resource Allocation Reducing Correlated Failures
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Solution Overview
Problem
Modern computing systems face challenges in reducing correlated failures, where the failure of one resource can lead to the failure of multiple interconnected resources due to shared resource utilization, resulting in service unavailability and inefficiencies.
Innovation Solution
Implementing intelligent allocation of dedicated implementation resources, where resources are provisioned in a manner that distributes capacity to minimize shared usage among resources intended for similar purposes, using existing capacity efficiently while ensuring that utilization ratios are maintained below a certain threshold to prevent overload and potential failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are shared to increase efficiency and simplicity, then resource utilization improves, but correlated failure risk increases
Solution Approach 1:
The patent segments resources into dedicated implementation resource groups, where each group is assigned to specific virtual resources. This segmentation isolates failure domains so that a failure in one group does not propagate to other groups, reducing correlated failures while maintaining efficient resource utilization through dedicated allocation.
Solution Approach 2:
The patent introduces dedicated implementation resources as intermediaries between physical hardware and virtual resources. These intermediaries act as isolation layers that prevent failure propagation while enabling efficient resource sharing and utilization, resolving the contradiction between efficiency and reliability.
2Reliability
If dedicated implementation resources are allocated to reduce correlated failures, then reliability improves, but resource allocation complexity increases
Solution Approach 1:
The patent implements a universal resource allocation framework that handles both dedicated and shared resource scenarios through a single system. The framework provides multi-functional capabilities including failure isolation, efficient utilization, and simplified management, reducing the complexity burden while maintaining high reliability.
Solution Approach 2:
The patent changes the allocation parameters from traditional shared resource models to dedicated implementation resource models with specific allocation thresholds and isolation criteria. These parameter changes enable automatic failure isolation while simplifying management through standardized allocation rules and thresholds.
3Reliability
If resources are distributed to minimize shared usage, then correlated failure risk decreases, but resource allocation efficiency decreases
Solution Approach 1:
The patent implements dynamic resource allocation that adapts to workload patterns and failure conditions. The system dynamically adjusts allocation strategies to minimize shared usage and isolate failures while maintaining high allocation efficiency through intelligent decision-making algorithms that balance isolation and efficiency requirements.
Solution Approach 2:
The patent performs preliminary allocation decisions that pre-assign dedicated implementation resources to virtual resources before failures occur. This preliminary action establishes failure isolation boundaries in advance while optimizing resource distribution efficiency, preventing correlated failures without sacrificing allocation efficiency.
Data Source
AI summary
Implementation resources are operated in a manner furthering a particular purpose while excluding use of the implementation resources for other purposes. At least some of the implementation resources have capacity that is usable to implement multiple other resources. The capacity of the implementation resources is allocated in a manner that satisfies one or more conditions on the capacity of the implementation resources that is used. Generally, the capacity is allocated in a manner that reduces the likelihood that resources initiated close in time will fail together should underlying implementation resources fail. The implementation resources may be hardware devices that implement virtual computer systems.