Edge Compute Advisory System for Secure Nomadic Computing
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Solution Overview
Problem
Mobile information handling systems face challenges in providing secure and efficient access to reliable remote computing capabilities, particularly in balancing computing resources with the need for lightweight devices and low battery consumption, while ensuring secure and trustworthy edge computing services.
Innovation Solution
A nomadic computing services system utilizing mobile edge computing resources connected to the cloud, with an edge compute advisory system that brokers available resources based on historical trust references and performance parameters, allowing clients to access optimal computing partners via a wireless gateway or authentication server, enabling Compute as a Service (Compute aaS) with secure payment mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If mobile devices access remote computing capabilities, then computing power is improved, but device complexity and security risks increase
Solution Approach 1:
The patent introduces an edge compute advisory system as an intermediary between mobile devices and edge computing resources. This mediator evaluates multiple edge compute systems based on historical trust references and performance parameters, selecting optimal partners for computing tasks. This resolves the contradiction by enabling access to remote computing power while managing security risks and system complexity through intelligent mediation rather than direct connections.
Solution Approach 2:
The system implements feedback mechanisms by maintaining historical trust references that record past interactions and performance data between devices and edge compute systems. This feedback loop allows the advisory system to make informed decisions about which edge compute partners to select, thereby managing complexity and security risks while preserving access to computing power.
2Power
If mobile devices use edge computing resources, then processing capability is improved, but energy consumption increases
Solution Approach 1:
The patent segments computing tasks between mobile devices and edge computing systems based on their respective capabilities and energy constraints. The mobile device handles local processing for immediate responses, while energy-intensive computations are offloaded to edge compute systems. This segmentation enables the device to access enhanced processing capability without proportionally increasing battery consumption, as only necessary computations are performed remotely.
3Adaptability or versatility
If multiple edge compute systems are accessed, then resource availability is improved, but security risks increase
Solution Approach 1:
The edge compute advisory system serves as a trusted intermediary that evaluates and selects edge compute partners based on historical trust references. This mediator enables the mobile device to access multiple edge compute systems for improved resource availability while maintaining security by only connecting to vetted, trustworthy partners. The intermediary filters out unreliable systems, resolving the contradiction between accessing diverse resources and maintaining security.
Solution Approach 2:
The system performs preliminary evaluation and selection of edge compute partners before actual computing tasks are executed. By pre-assessing trustworthiness and performance parameters, the system establishes a foundation of reliability before resources are accessed. This preliminary action enables secure access to multiple edge compute systems, balancing resource availability with security trustworthiness.
Data Source
AI summary
A system and method for operating an edge compute advisory system comprising a network adapter to receive a compute work request from a client device seeking edge computing resources of a mobile edge computing system, wherein the compute work request includes processing resource requirements to meet the compute work request. A processor to determine a plurality of mobile edge computing systems within a neighborhood range of an estimated client device location, and the network adapter to receive advertisement messages indicating availability of the plurality of mobile edge computing systems and including an address location for secured historical compute trust references for each advertising mobile edge computing system. The processor executing machine readable executable code instructions of the edge compute advisory system to access and receive the historical trust references for a plurality of candidate mobile edge computing resources accessible to the client device location, and determine an optimal candidate mobile edge computing resources partner from among the plurality of candidate mobile edge computing systems based on a minimal level of trust category or rating for the mobile edge computing system.