Confidential Grid Computing via Trusted Execution Environments
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Solution Overview
Problem
Existing grid computing protocols lack adequate security and confidentiality for consumers and do not provide guaranteed protection or liability for providers of compute resources, especially in scenarios where hardware resources are scarce due to supply chain disruptions.
Innovation Solution
A system utilizing a geographically dispersed grid of nodes implemented in a Trusted Execution Environment (TEE) with an orchestration manager that deploys workloads securely and efficiently, ensuring compliance with Service Level Agreements (SLAs) and cost requirements, using Secure Services Containers (SSCs) and Trusted Platform Module (TPM) attestation protocols for comprehensive security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing grid computing protocols are used, then compute resources can be shared, but security and confidentiality protection for consumers is inadequate
Solution Approach 1:
The patent introduces Trusted Execution Environments (TEEs) as intermediary hardware components that mediate between consumers and providers. TEEs create isolated execution spaces with guaranteed security properties, allowing workloads to execute with enhanced confidentiality without requiring complex protocol changes across the entire grid infrastructure.
Solution Approach 2:
The patent changes the fundamental parameter of execution environment from standard software-based virtualization to hardware-enforced Trusted Execution Environments. This parameter change enables guaranteed security and confidentiality properties that were not achievable with existing software-based protocols, while maintaining relative simplicity through hardware support.
2Reliability
If existing grid computing protocols are used, then compute resources can be shared, but guaranteed protection and liability for providers is not offered
Solution Approach 1:
TEEs serve as intermediaries that provide guaranteed protection for providers by creating isolated execution environments. The hardware-enforced isolation ensures that providers receive guaranteed protection for their compute resources, and the system can enforce liability agreements through the trusted execution boundary.
Solution Approach 2:
The patent implements beforehand cushioning by establishing Trusted Execution Environments prior to workload execution. These pre-configured TEEs provide guaranteed protection and liability frameworks before workloads are deployed, ensuring that providers are protected in advance against unauthorized access or resource interference.
3Productivity
If additional hardware resources are installed to meet compute demand, then compute capacity increases, but supply chain disruptions and shortages are exacerbated
Solution Approach 1:
The patent applies discarding and recovering by harvesting unused hardware resources from datacenters and repurposing them for grid computing workloads. Instead of discarding idle hardware, the system recovers and leverages these existing resources to meet new compute demands, avoiding the need for additional hardware installations.
Solution Approach 2:
The patent enables multi-functionality by allowing existing hardware resources in datacenters to serve dual purposes: their original functions plus additional grid computing workloads. This universal utilization maximizes the value extracted from existing hardware without requiring dedicated new installations for each function.
4Productivity
If unused hardware resources in datacenters are harvested, then compute demand is met without additional hardware, but security and isolation guarantees become more challenging
Solution Approach 1:
TEEs act as intermediaries that enable secure multi-tenancy on shared hardware. By introducing this intermediary layer, the system can harvest and share unused hardware resources while maintaining strong security and isolation guarantees through hardware-enforced boundaries in each TEE.
Solution Approach 2:
The patent changes the execution environment parameter to Trusted Execution Environments, which provide hardware-enforced isolation and security. This parameter change enables safe resource sharing and harvesting by ensuring that each workload receives guaranteed isolation and security protection regardless of the shared hardware underlying the TEE.
Data Source
AI summary
Described are techniques for confidential grid computing such as system including a confidential computing provider comprising a geographically dispersed grid of nodes implemented in a trusted execution environment. The system further includes a plurality of compute consumers including a first compute consumer comprising a workload configured to run on a cloud computing environment, a Service Level Agreement (SLA), and a cost. The system further includes an orchestration manager communicatively coupling the confidential computing provider with the plurality of compute consumers, where the orchestration manager is configured to deploy the workload of the first compute consumer on at least one node of the confidential computing provider that satisfies at least the SLA and the cost.