Distributed Autonomous Resource Management Blocks

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Solution Overview

Problem

Centralized network management systems face scalability limitations when managing large-scale datacenters or cloud clusters, as they cannot infinitely scale due to computing and access limitations, making it difficult to control and manage thousands of nodes effectively.

Innovation Solution

Implementing a distributed autonomous resource discovery, management, and stitching system that uses OpenStack to manage resources across multiple blocks, eliminating the need for central management by replicating and linking blocks, allowing for scalable and reliable resource allocation and monitoring across a network.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If centralized management is used to control and manage datacenter resources, then resource allocation and monitoring can be performed, but scalability is limited due to computing and access limitations of the control infrastructure

Engineering Contradiction:
Improveresource management reliabilityVSAvoidsystem scalability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent divides the centralized management system into distributed autonomous blocks. Each block independently manages its own resources and makes autonomous decisions, eliminating the single point of control. This segmentation allows the system to scale infinitely as each block operates independently without being constrained by central infrastructure limitations.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a blockchain-based intermediary layer that enables trustless coordination between autonomous blocks. This intermediary allows resource discovery, allocation, and monitoring across distributed blocks without requiring a central authority, thus maintaining reliability while enabling unlimited scalability.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Quantity of substance

If the number of racks is increased in a centralized management system, then more resources can be managed, but the fixed number of racks limitation prevents infinite scaling

Engineering Contradiction:
Improvenumber of manageable resourcesVSAvoidmanagement system complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

Each autonomous block performs self-service by independently discovering resources, managing allocations, and monitoring status without external intervention. This self-service capability eliminates the need for complex centralized coordination as the system scales, allowing unlimited resource management while keeping individual block complexity manageable.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent transitions from a single-dimensional centralized hierarchy to a multi-dimensional distributed network of autonomous blocks. This dimensional change allows resources to be managed across multiple independent blocks simultaneously, exponentially increasing capacity without proportionally increasing management complexity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Productivity

If centralized control infrastructure is used, then resource discovery and allocation can be performed, but computing and access limitations prevent handling thousands of nodes

Engineering Contradiction:
Improveresource allocation efficiencyVSAvoidnumber of nodes
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The patent segments the node management task across multiple autonomous blocks, where each block independently discovers and allocates resources within its own network. This segmentation allows the system to handle thousands of nodes by distributing the computational burden across many independent blocks rather than concentrating it in a single centralized infrastructure.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Each autonomous block continuously monitors and reports resource status, allocation decisions, and network conditions. This distributed feedback mechanism enables efficient resource allocation across thousands of nodes by allowing local blocks to make real-time decisions based on current conditions without waiting for centralized coordination.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10318550B2Systems and methods for autonomous resource discovery, management, and stitching
Publication Date: 2019.06.11 DELL PROD LP
  • US10318550B2 patent drawing
  • US10318550B2 patent drawing
  • US10318550B2 patent drawing

AI summary

The present invention relates generally to management in an autonomous, distributed environment. Aspects of the present invention include employing a distributed, scalable, autonomous resource discovery, management, and stitching system. In embodiments of the present invention a block architecture can be used where each block maintains management of the block rather than the entire environment. In embodiments of the present invention each block includes an autonomous resource discovery, management, and stitching system capable of communicating with autonomous resource discovery, management, and stitching, systems of other blocks to allocate and share resources between blocks.