Protocol Message Aggregation and Caching for Large Device Fleets
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Solution Overview
Problem
Current management protocols between central command devices and large numbers of computing devices require significant resources and rely on trusted intermediary nodes, posing inefficiencies and security risks.
Innovation Solution
A system utilizing a command device, aggregation systems, and caching mechanisms to broadcast and aggregate protocol messages and responses, allowing efficient management of multiple devices while reducing resource consumption and eliminating the need for trusted intermediary nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If management protocol is executed with each computing device separately, then protocol execution reliability is improved, but resource consumption and system complexity increase significantly
Solution Approach 1:
The system segments the large population of computing devices into multiple groups, each managed by a dedicated management agent. This segmentation allows the central management system to handle devices in manageable batches rather than individually, reducing resource consumption while maintaining reliable protocol execution through systematic group processing
Solution Approach 2:
Management agents are introduced as intermediary components between the central management system and computing devices. These agents proxy protocol execution for their respective device groups, enabling reliable protocol management without requiring the central system to directly communicate with each device individually, thus reducing overall resource consumption
2Use of energy by moving object
If tree-based solution with hierarchy of management agents is used, then resource consumption is reduced, but security risks increase due to requirement for trusted intermediary nodes
Solution Approach 1:
The management agents are designed to be self-verifying through cryptographic proof mechanisms. Each agent provides verifiable proof of its identity and authorization to manage specific device groups, eliminating the need for pre-trusted intermediary nodes. The system maintains security through self-service verification rather than relying on trusted third parties
Solution Approach 2:
The system incorporates feedback mechanisms where management agents provide verifiable proofs about their operational status and authorization to the central management system. This feedback loop enables continuous verification of agent legitimacy without requiring static trusted intermediaries, addressing security concerns while maintaining resource efficiency
Data Source
AI summary
Technologies for protocol execution include a command device to broadcast a protocol message to a plurality of computing devices and receive an aggregated status message from an aggregation system. The aggregated status message identifies a success or failure of execution of instructions corresponding with the protocol message by the plurality of computing devices such that each computing device of the plurality of computing devices that failed is uniquely identified and the success of remaining computing devices is aggregated into a single success identifier.


