Cloud Automation Microbots for Error-Free Hardware Provisioning
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Solution Overview
Problem
Provisioning and maintaining a cloud computing system is a manually intensive activity, leading to inefficiencies and potential errors.
Innovation Solution
A system comprising a network software installation system and microbots that automate the installation and configuration of hardware and software components in a cloud computing environment, enabling interoperability and minimizing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual provisioning and maintenance methods are used, then flexibility and adaptability are maintained, but productivity is low and errors occur frequently
Solution Approach 1:
The system enables self-service automation where microbots autonomously perform provisioning and maintenance tasks without human intervention. The microbots self-organize, self-provision, and self-maintain the cloud computing environment, eliminating manual labor while maintaining high productivity and consistency.
Solution Approach 2:
Manual mechanical operations are replaced with automated software-based microbots that execute provisioning and maintenance tasks. This substitution eliminates human error while maintaining system flexibility through programmable automation.
2Manufacturing precision
If manual configuration methods are used, then adaptability to different hardware is maintained, but manufacturing precision and consistency are poor
Solution Approach 1:
The automation system is segmented into independent microbots that each handle specific provisioning and maintenance tasks. This modular approach manages complexity by breaking down the overall system into manageable, standardized components that can operate autonomously and consistently.
Solution Approach 2:
The system uses configurable parameters and algorithms that can be adjusted to accommodate different hardware configurations while maintaining consistent deployment processes. The microbots adapt to various hardware types through parameter modification rather than requiring complex custom logic for each device.
3Reliability
If automated microbots are deployed, then productivity and reliability are improved, but device complexity increases
Solution Approach 1:
The microbots are designed as universal, multi-functional agents that can perform various provisioning and maintenance tasks across different hardware platforms. This universality reduces overall system complexity by using standardized components rather than specialized devices for each function.
Solution Approach 2:
The microbots act as intermediary agents between the cloud computing infrastructure and the provisioning/maintenance operations. This intermediary layer simplifies the system architecture by providing a standardized interface that manages complexity internally while presenting a simple external interface.
Data Source
AI summary
A system for configuring a network, comprising a network software installation system operating on a first processor and configured to install a current version of one or more algorithms on each of a plurality of site-specific hardware items and to configure each of the plurality of site-specific hardware items to interoperate with each other. A plurality of microbots operating on one or more of the plurality of site-specific hardware items, each microbot having state and configured to communicate with each other microbot over a microbot network.