External Worker Node for Home Cloud Latency and Security
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Solution Overview
Problem
Public cloud computing systems face latency issues due to long round-trip times and security risks, especially for latency-sensitive applications and security-sensitive data, while private cloud systems are costly and require advanced administration skills, and home server systems have limited scalability and resource extension capabilities.
Innovation Solution
An external worker node with a pre-installed software stack, including a node registration system, security unit, and cloud runtime, is connected to a public cloud cluster via a home gateway router, allowing secure, low-latency computational tasks and easy resource management, enabling users to access public cloud resources while maintaining control and security within their home network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users connect to public cloud systems over the Internet, then they gain access to unlimited storage and computing power, but the round-trip time increases due to physical distance causing propagation delay
Solution Approach 1:
The system segments cloud computing resources into two parts: a local edge computing node deployed in the user's home network that handles latency-sensitive tasks locally, and a public cloud system that provides unlimited storage and non-time-critical computing resources. This segmentation allows users to access both local fast processing and remote abundant resources simultaneously.
Solution Approach 2:
The patent introduces an edge computing node as an intermediary between the user's home network and the public cloud system. This intermediary pre-loads data and handles local computations, reducing the need for frequent round-trips to the distant public cloud and thereby reducing propagation delay for time-sensitive operations.
2Quantity of substance
If users use public cloud services to store security-sensitive data, then they benefit from scalable storage, but security risks increase due to exposure to cyber criminals
Solution Approach 1:
The system segments data storage into local and remote components. Security-sensitive data is stored and processed locally on the edge computing node within the user's controlled home network, while non-sensitive data is stored in the public cloud. This segmentation ensures that critical data remains protected behind the user's local security perimeter while still benefiting from cloud scalability.
Solution Approach 2:
The patent applies local quality by implementing different security characteristics for different data types. Local storage provides high-security, low-latency access for sensitive data, while remote cloud storage provides scalable, lower-security storage for non-sensitive data. Each location's storage capabilities are optimized for its specific security and performance requirements.
3Reliability
If users deploy a private cloud computing system within their home network, then they reduce latency and improve security, but the cost and system administration requirements increase significantly
Solution Approach 1:
The edge computing node is designed as a plug-and-play device that automatically registers with the public cloud system and begins providing local computing services without requiring user configuration or system administration. The device self-configures its network settings, authentication credentials, and service parameters, eliminating the need for users to have advanced technical knowledge while still providing private cloud benefits.
Solution Approach 2:
The patent uses a pre-configured edge computing node that essentially copies the functionality of a full private cloud system in a simplified, pre-packaged form. Instead of requiring users to build and maintain a complex private cloud infrastructure, they simply deploy a ready-made edge node that replicates the essential features of private cloud computing with minimal effort.
4Power
If users upgrade hardware to increase storage or computing resources, then they improve system performance, but the cost and complexity of hardware replacement increase
Solution Approach 1:
The edge computing node acts as an intermediary that provides local computing power without requiring the user's personal computer to be upgraded. The node handles resource-intensive computations locally, freeing the user's device from hardware upgrade requirements while still delivering improved computing performance for local applications.
Solution Approach 2:
The edge computing node is designed as a universal computing resource that can serve multiple functions: local computing, data pre-loading, security enforcement, and cloud gateway. This multi-functionality means that a single device provides computing power enhancement without requiring separate hardware upgrades for different purposes, reducing overall system complexity.
Data Source
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AI summary
The invention relates to an external worker node for the use in a home network environment of a user adapted to access a public cluster in the internet, the external worker node comprises a communication interface adapted to communicate with a communication network, in particular via a home gateway router; a computing unit adapted to perform calculation tasks, wherein the external worker node comprises a pre-installed software stack, wherein the pre-installed software stack comprises a node registration system "NRS" that is adapted to coordinate a registration process of the external worker node) with a Cloud Service Management System "CSMS" of a public cluster of a network provider.