Cloud-Based Rendering System for Local Hardware Reduction
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Solution Overview
Problem
Current rendering processes require expensive hardware and are computationally intensive, making them inefficient for devices with limited resources, and existing cloud-based solutions lack effective management of data transfers, security, and licensing.
Innovation Solution
A cloud-based rendering system that outsources rendering tasks to cloud computing, utilizing virtual machines and managing resources, licensing, and data transfers to reduce hardware needs and enhance efficiency, allowing devices with limited resources to perform rendering tasks efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If rendering is performed using local hardware, then rendering quality can be maintained, but hardware costs and computational requirements become excessively high
Solution Approach 1:
The patent extracts the computationally intensive rendering process from local devices and relocates it to remote cloud-based rendering servers. This allows local devices with limited hardware resources to maintain high rendering quality by leveraging the powerful processing capabilities of remote servers, thereby resolving the contradiction between rendering quality and hardware requirements
Solution Approach 2:
The patent introduces a cloud-based rendering management system as an intermediary between local devices and rendering servers. This intermediary coordinates rendering tasks, manages resource allocation, and handles data transfers, enabling efficient distribution of rendering workloads across multiple remote servers while maintaining quality standards
2Quantity of substance
If cloud-based rendering is implemented, then hardware requirements are reduced, but management complexity of data transfers and licensing increases
Solution Approach 1:
The patent implements automated licensing management and resource allocation systems that operate autonomously without requiring manual intervention. The system automatically tracks application usage, manages licensing compliance, and coordinates data transfers between cloud servers and local devices, thereby reducing management complexity despite the distributed architecture
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor rendering task progress, resource utilization, and licensing status in real-time. This feedback enables the system to dynamically adjust resource allocation and coordinate data transfers efficiently, simplifying the management of complex cloud-based operations
3Productivity
If multiple virtual machines are used for rendering, then processing capacity increases, but licensing management becomes more difficult
Solution Approach 1:
The patent implements a universal licensing management system that works across multiple virtual machines and rendering servers. This centralized system tracks and manages application licenses uniformly across the entire cloud infrastructure, enabling efficient use of multiple virtual machines without increasing licensing management complexity
Solution Approach 2:
The patent employs feedback mechanisms that continuously monitor license usage across all virtual machines. This real-time tracking enables the system to enforce licensing compliance and allocate licenses efficiently across multiple rendering instances, maintaining simplified management despite increased processing capacity
Data Source
AI summary
This document describes methods, systems and computer program products related to cloud-based rendering. The subject matter of this document is embodied in a method that includes receiving, at a server, information associated with a job of rendering one or more frames at the server, and using, at the server, an application to perform at least a portion of the rendering. The use of the application to perform the rendering bears a charge according to a usage license associated with the application. The method also includes measuring, at the server, an amount of use of the application in performing the rendering for use in determining the charge.