20240036912. SYSTEM AND METHOD FOR WORKLOAD PORTABILITY IN CLOUD ENVIRONMENTS simplified abstract (Datamotive Technologies Private Limited)

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SYSTEM AND METHOD FOR WORKLOAD PORTABILITY IN CLOUD ENVIRONMENTS

Organization Name

Datamotive Technologies Private Limited

Inventor(s)

Yogesh Anyapanawar of Pune (IN)

Sourav Kumar Patjoshi of Pune (IN)

Rishabh Kemni of Delhi (IN)

SYSTEM AND METHOD FOR WORKLOAD PORTABILITY IN CLOUD ENVIRONMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240036912 titled 'SYSTEM AND METHOD FOR WORKLOAD PORTABILITY IN CLOUD ENVIRONMENTS

Simplified Explanation

The system described in the patent application is designed to facilitate workload portability. It involves a target server that is instantiated at a target platform and is configured to store snapshots of a workload executing at a source platform. These snapshots are captured at defined time intervals and represent incremental changes in the workload in its raw state. The stored snapshots include both boot files and data files.

When a trigger pertaining to workload portability is activated, the target server updates the boot files and data files with the configuration supported by the target platform. The updated boot files and data files are then executed at the target platform, resulting in the execution of the workload in an identical manner to its execution at the source platform.

  • The system allows for the easy transfer of workloads from one platform to another.
  • Snapshots of the workload are captured at defined time intervals, representing incremental changes in the workload.
  • The stored snapshots include both boot files and data files.
  • The target server updates the boot files and data files with the configuration supported by the target platform.
  • The updated boot files and data files are executed at the target platform, resulting in identical execution to the source platform.

Potential Applications

  • Cloud computing: Workloads can be easily transferred between different cloud platforms.
  • Disaster recovery: Workloads can be quickly and efficiently moved to a different platform in the event of a disaster.
  • Testing and development: Workloads can be easily moved between different testing and development environments.

Problems Solved

  • Workload portability: The system solves the problem of transferring workloads between different platforms without the need for manual reconfiguration.
  • Efficiency: The system allows for the efficient execution of workloads at the target platform by updating the boot files and data files with the appropriate configuration.

Benefits

  • Flexibility: Workloads can be easily moved between different platforms, providing flexibility and scalability.
  • Time-saving: The system automates the process of updating and executing the workload at the target platform, saving time and effort.
  • Consistency: The execution of the workload at the target platform is identical to its execution at the source platform, ensuring consistency in results.


Original Abstract Submitted

a system for facilitating workload portability is provided. the system includes a target server instantiated at a target platform and configured to store, at the target platform, one or more snapshots of a workload executing at a source platform. the snapshots are captured at each defined time-interval and correspond to an incremental change in the workload in raw state. the stored snapshots include boot files and data files. the target server updates, based on a trigger pertaining to workload portability of the workload, the boot files and the data files with configuration supported by the target platform. the target server executes the updated boot files and data files at the target platform. the execution of the workload at the target platform is identical to the execution thereof at the source platform.