Hardware Virtual Machine Interpreter Logic for Cloud Processing Overhead
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Solution Overview
Problem
The three-level architecture involving virtual machine interpreters in cloud-based systems results in significant overhead and processing delays due to the need for software interpretation of programming languages, which adds computational expenditure to user requests.
Innovation Solution
Implementing programming language interpreter logic directly in hardware components, such as processors, to eliminate the need for separate virtual machine interpreters and enable direct execution of source code, thereby reducing the processing overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a virtual machine interpreter is implemented as software on top of an operating system, then programming languages can be interpreted and executed, but significant overhead and processing delays occur
Solution Approach 1:
The patent replaces the software-based virtual machine interpreter with a hardware component that directly executes programming language instructions. This substitution of mechanical/software system with a hardware system eliminates the overhead of software interpretation layers, directly resolving the time loss contradiction while maintaining programming language interpretation capability.
Solution Approach 2:
The hardware component is designed to interpret and execute multiple programming languages (e.g., Ruby, Perl, Python) directly, providing universal language support at the hardware level. This multi-functionality maintains the adaptability benefit while removing the need for separate software interpreters for each language, thereby reducing processing time.
2Adaptability or versatility
If a three-level architecture with virtual machine interpreter is used, then applications can run on generic hardware, but computational expenditure and overhead increase
Solution Approach 1:
The patent merges the virtual machine interpreter functionality directly into the hardware component, eliminating the separate software layer. This consolidation reduces the number of processing layers from three to two, decreasing computational overhead and energy expenditure while maintaining application compatibility through the hardware's ability to execute multiple programming languages.
Solution Approach 2:
By replacing the software-based interpreter with a hardware component, the system reduces computational expenditure. The hardware component performs interpretation and execution functions that previously required multiple software layers, thereby reducing energy consumption while preserving application compatibility.
3Adaptability or versatility
If software interpretation is used to execute programming languages, then flexible language support is provided, but processing speed decreases
Solution Approach 1:
The patent substitutes software interpretation with hardware-based execution. The hardware component is designed to directly execute instructions from multiple programming languages at hardware speed, eliminating the interpretation overhead that slows down software-based execution while maintaining flexible language support.
Solution Approach 2:
The hardware component is segmented into specialized units that can handle different programming language instructions. This segmentation allows the hardware to maintain adaptability across multiple languages while executing each language's instructions through optimized hardware pathways, thereby improving execution speed without sacrificing language support flexibility.
Data Source
AI summary
Methods and systems for implementing “virtual machine” interpreters in a hardware component. The virtual machine interpreter may be implemented in the hardware component (e.g., a processor) by configuring the hardware component to include programming language interpreter logic. The hardware component is configured to include multiple logic gates and arrays representing a hardware-based implementation of a virtual machine interpreter.


