18187104. TRACKING A RESUME POINT AND METRICS IN A COLLECTION OF OPERATIONS simplified abstract (Hewlett Packard Enterprise Development LP)

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TRACKING A RESUME POINT AND METRICS IN A COLLECTION OF OPERATIONS

Organization Name

Hewlett Packard Enterprise Development LP

Inventor(s)

Zachary Nathan Turner of Bristol (GB)

TRACKING A RESUME POINT AND METRICS IN A COLLECTION OF OPERATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18187104 titled 'TRACKING A RESUME POINT AND METRICS IN A COLLECTION OF OPERATIONS

Simplified Explanation: The patent application describes a system that efficiently updates a data store by batching and flushing different types of operations, while tracking the progress of these operations during a service.

Key Features and Innovation:

  • System receives a collection of operations for updating a data store.
  • Operations are batched and flushed to the data store.
  • Tracking data structure monitors batching and flushing of operations.
  • System resumes service using a checkpointed version after an interruption.

Potential Applications: This technology can be applied in various industries where efficient data store updates are required, such as e-commerce, finance, and healthcare.

Problems Solved: The system addresses the need for optimizing the process of updating a data store with multiple types of operations efficiently and reliably.

Benefits:

  • Improved efficiency in updating data stores.
  • Enhanced reliability in tracking and resuming operations after interruptions.
  • Streamlined process for managing different types of operations.

Commercial Applications: The technology can be utilized in database management systems, cloud computing services, and any application that requires frequent data store updates.

Prior Art: Researchers can explore prior patents related to data store optimization, batch processing, and tracking mechanisms in database systems to understand the existing technology landscape.

Frequently Updated Research: Stay informed about advancements in database management systems, batch processing algorithms, and data store optimization techniques to enhance the efficiency of data updates.

Questions about the Technology: 1. How does the system ensure the reliability of tracking and resuming operations after interruptions? 2. What are the potential challenges in implementing this technology in large-scale data storage systems?


Original Abstract Submitted

In some examples, a system receives, as part of a service to update a data store, a collection of operations that are to be performed with respect to the data store, wherein the collection of operations comprises a plurality of different types of operations for respective data blocks of the data store. Multiple operations of a respective type of the different types of operations are batched to produce a batch of operations of the respective type, and the batch of operations of the respective type is flushed to the data store. The system progressively updates a tracking data structure that tracks batching and flushing of operations of the collection of operations during the service, where the tracking data structure includes metrics representing flushes of batches of operations of the different types. After an interruption of the service, the system resumes the service using a checkpointed version of a resume portion of the tracking data structure.

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