Trust-Based Edge Node Orchestration via Attestation
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Solution Overview
Problem
Conventional edge computing orchestration models focus on physical and software resources, neglecting trust-based models that are essential for optimal workload performance and quality of service, especially in dynamic and resource-constrained edge environments.
Innovation Solution
Implementing trust-based orchestration that uses attestation to establish and manage trust among edge nodes, leveraging defined trust factors to assess and mitigate risks, and dynamically adjust resource allocation based on changing conditions and service level agreements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional edge computing orchestration models focus only on physical and software resources, then resource allocation is simplified, but trust-based security and service quality are compromised
Solution Approach 1:
The patent segments the orchestration model into distinct functional modules: trust assessment module that evaluates trust factors, resource allocation module that distributes resources, and security negotiation module that manages security attributes. This segmentation allows the system to incorporate complex trust-based mechanisms while maintaining manageable system architecture through modular design.
Solution Approach 2:
The patent introduces a trust assessment module as an intermediary component that mediates between resource requests and resource allocation. This intermediary evaluates trust factors and security attributes, enabling reliable service quality without requiring direct complex interactions between all system components, thus managing overall system complexity.
2Reliability
If dynamic trust assessment and security negotiation are implemented, then security and service quality improve, but computational overhead and processing time increase
Solution Approach 1:
The patent performs trust assessment and security attribute negotiation as preliminary actions before resource allocation and workload execution. By evaluating trust factors and establishing security parameters in advance, the system avoids repeated computational overhead during runtime, reducing overall energy consumption while maintaining high security standards.
Solution Approach 2:
The trust assessment module autonomously evaluates trust factors and the security negotiation module independently manages security attributes without requiring continuous external intervention. This self-service capability reduces computational overhead by eliminating redundant verification processes and enabling autonomous decision-making at the edge nodes.
3Adaptability or versatility
If trust factors and security attributes are dynamically negotiated, then compliance and security improve, but system complexity and processing requirements increase
Solution Approach 1:
The patent implements dynamic trust assessment and security negotiation mechanisms that adapt to changing conditions at edge nodes. Trust factors are continuously evaluated based on current system state, and security attributes are negotiated in real-time, enabling the system to comply with varying security requirements while maintaining manageable complexity through adaptive rather than static configurations.
Data Source
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AI summary
Various aspects of methods, systems, and use cases for trust-based orchestration of an edge node. An edge node may be configured for trust-based orchestration in an edge computing environment, where the edge node includes a transceiver to receive an instruction to perform a workload, the instruction from an edge orchestrator, the edge node being in a group of edge nodes managed with a ledger; and a processor to execute the workload at the edge node to produce a result, wherein the execution of the workload is evaluated by other edge nodes in the group of edge nodes to produce a reputation score of the edge node, where the transceiver is to provide the result to the edge orchestrator.