Trust-Based Resource Allocation for Cloud Instance Isolation
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Solution Overview
Problem
In shared computing resource environments, interference and competition for resources among instances can lead to performance degradation and security breaches, as some instances may exhibit abusive behavior or be vulnerable to attacks, affecting other instances hosted on the same resources.
Innovation Solution
A trust-based resource allocation system that assigns trust ratings to computing resource instances based on various factors, including security, compliance, and usage patterns, and selects implementation resources with similar trust ratings to minimize adverse interference, ensuring responsible behavior and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple computing resource instances share the same implementation resources, then resource utilization efficiency is improved, but resource interference and performance degradation occur
Solution Approach 1:
The patent segments implementation resources into isolated groups based on trust ratings. Instances with similar trust ratings are placed together in the same resource pool, while instances with different trust ratings are separated into different pools. This segmentation prevents high-trust instances from being affected by abusive low-trust instances, thereby reducing resource interference while maintaining high resource utilization within each segmented pool.
2Productivity
If multiple computing resource instances share the same implementation resources, then resource utilization efficiency is improved, but security breaches and abusive behavior affect other instances
Solution Approach 1:
The system segments instances into different isolation groups based on their trust ratings. High-trust instances are isolated from low-trust instances, creating security boundaries that prevent security breaches and abusive behavior from propagating across all instances. This segmentation maintains security reliability while still allowing efficient resource utilization within each trusted group.
Solution Approach 2:
The patent applies local quality by assigning different trust ratings to different instances and using these ratings to determine resource allocation. Each instance receives resource allocation tailored to its trust level, with high-trust instances receiving access to broader resource pools while low-trust instances are restricted. This differentiated approach enhances security for critical instances while maintaining overall system productivity.
3Reliability
If trust-based isolation is implemented to reduce interference, then instance security and performance are improved, but resource utilization efficiency decreases
Solution Approach 1:
The patent implements dynamic trust rating assessment and resource allocation. Trust ratings are not static but are continuously evaluated based on instance behavior, security posture, and compliance status. Resource allocation dynamically adjusts according to these changing trust ratings, allowing the system to maximize resource utilization while maintaining security. Instances that demonstrate good behavior can expand their resource access, while problematic instances are automatically restricted.
Solution Approach 2:
The trust rating system serves multiple functions simultaneously: it provides security classification, performance optimization, resource allocation guidance, and compliance monitoring. This multi-functional approach allows a single trust-based mechanism to achieve both security isolation and efficient resource utilization without requiring separate systems for each objective.
Data Source
AI summary
Methods and systems for provisioning computing resource instances among implementation resources based on trust to reduce interference between computing resource instances implemented by the same implementation resources. In an embodiment, a trust rating is determined for a computing resource instance based at least in part on one or more trust factors. The suitability of an implementation resource to implement the given computing resource instance may be evaluated based at least in part on the trust rating of the computing resource instance and a trust rating of the implementation resource. In some embodiments, the trust rating of the implementation resource may be predefined or based on trust ratings of computing resource instances that are currently implemented by the implementation resource. An implementation resource may be selected to implement the computing resource instance based at least in part on its suitability thus determined.