Remote Execution Environment Copying for Reproducible Offloading
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Solution Overview
Problem
Existing computational systems face challenges in producing consistent results across different execution environments due to variations in hardware, operating system versions, library versions, and data formats, necessitating a method to automate configuration, deployment, and execution in identical remote environments.
Innovation Solution
A meta-version tracking system (MVTS) automates the configuration, deployment, and execution of computational systems by preserving instructions for configuring remote environments, deploying elements, and executing them in a specific sequence, using containers like docker, to ensure consistent results across different environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computational systems are executed in different remote environments, then adaptability to various hardware and software configurations is improved, but result consistency deteriorates due to variations in operating system versions, library versions, and execution environments
Solution Approach 1:
The patent creates a copy of the execution environment configuration (operating system version, library versions, hardware specifications) and preserves it in a database. When reproducing results, the system queries this database and reconstructs an identical environment copy, ensuring that the computational system executes in the same conditions as the original run, thus maintaining result consistency across different physical environments
Solution Approach 2:
The system performs preliminary configuration by automatically querying hardware and software details before execution, storing these environment parameters in advance. This preliminary action captures the exact execution context (OS version, library versions, processor type) so that when result reproduction is needed, the environment is pre-configured to match the original conditions, preventing environmental variations from affecting results
2Ease of operation
If manual configuration and deployment of computational systems in remote environments is performed, then execution control is improved, but time consumption and operational complexity worsen
Solution Approach 1:
The system implements self-service automation where the computational system automatically queries its own execution environment details (hardware specifications, operating system version, library versions), automatically stores these parameters in the database, and automatically retrieves and applies them during result reproduction. This eliminates manual configuration steps, reducing both time consumption and operational complexity while maintaining precise execution control
Solution Approach 2:
The system establishes a feedback loop where execution environment parameters are automatically captured during computation, stored, and then used to guide subsequent executions. The system queries the database for stored environment parameters and automatically adjusts the execution context based on this feedback, ensuring that the same environmental conditions are reproduced without manual intervention, thus reducing time and complexity
3Ease of operation
If large datasets are hosted in particular locations, then data accessibility is improved, but system portability deteriorates because data is too large to copy
Solution Approach 1:
The patent extracts only the essential environment configuration parameters (operating system version, library versions, hardware specifications, data source location) from the physical execution environment and stores them in the database. This extraction separates the portable configuration information from the non-portable large dataset, allowing the system to be configured and deployed in different locations without copying the actual large data, thus maintaining both data accessibility and system portability
Data Source
AI summary
Methods and systems are disclosed for automatically obtaining a result of execution in a remote execution environment, such as high-performance computing cluster HPC, of elements of a version of a complex computational system relying on at least one data source. Configuration of the remote execution environment, as well as deployment of the version of the computational system and its configuration is performed automatically using instructions preserved within the version-tracking system. Intermediate statuses and the result of the execution are produced according to the instructions preserved within the version-tracking system and are preserved within the version-tracing system.

