Virtualized Group Computing for Safety-Critical Task Allocation
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Solution Overview
Problem
Group computing technologies face challenges in safety-critical operating environments due to concerns such as data leakage, insecure communications, and increased attack surfaces, hindering their use in applications like avionics that require stringent safety and security standards.
Innovation Solution
An apparatus and method for group computing in safety-critical environments, utilizing a primary computing device to determine a group computing need, create a virtual environment with secondary devices, and allocate task data based on hardware requirements, ensuring compliance with safety and security standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If group computing is implemented in safety-critical operating environments, then computational speed and efficiency are improved, but security and safety compliance deteriorate due to data leakage risks, insecure communications, and increased attack surfaces
Solution Approach 1:
The system segments the group computing environment into isolated virtual machines, each handling specific computational tasks. This segmentation allows parallel processing across multiple devices while maintaining security boundaries that prevent data leakage and unauthorized access between computing nodes.
Solution Approach 2:
A primary computing device acts as an intermediary that coordinates task distribution and result aggregation among secondary devices. This intermediary manages secure communications by establishing encrypted channels and validating data exchanges, thereby maintaining safety compliance while enabling group computing operations.
2Reliability
If multiple computing devices are used for group computing, then fault tolerance and scalability are improved, but system complexity and attack surface increase
Solution Approach 1:
The primary computing device performs multiple functions including task distribution, result aggregation, security management, and coordination of secondary devices. This universal approach centralizes control functions, reducing overall system complexity while maintaining fault tolerance through the distributed computing architecture.
Solution Approach 2:
The system dynamically adjusts operational parameters such as task allocation strategies, communication protocols, and security levels based on the number and capabilities of participating devices. This parameter adaptation allows the system to scale efficiently while managing complexity through automated configuration rather than manual setup.
3Productivity
If task data is distributed across multiple devices, then computational efficiency is improved, but data security and communication security deteriorate
Solution Approach 1:
The system employs composite security mechanisms combining encryption, authentication, and integrity verification protocols across distributed devices. This layered security approach protects task data and communications while enabling efficient parallel processing by establishing trust boundaries that allow secure data sharing.
Data Source
AI summary
Apparatus for performing group computing in a safety-critical operating environment (SCOE) includes a primary computing device, wherein the primary computing device includes a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive task data, determine a group computing need by comparing the task data against a preset group computing criterion, determine a hardware allocation as a function of the group computing need, create a virtual environment using a secondary computing device communicatively connected to the primary computing device, as a function of the hardware allocation, allocate at least a portion of the task data to the at least a secondary computing device, as a function of the group computing need, wherein the at least a portion of the task data is executed by the secondary computing device, and receive from the at least a secondary computing device a processing result.


