Dell products l.p. (20240103898). INPUT-OUTPUT PROCESSING IN SOFTWARE-DEFINED STORAGE SYSTEMS simplified abstract
Contents
- 1 INPUT-OUTPUT PROCESSING IN SOFTWARE-DEFINED STORAGE SYSTEMS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INPUT-OUTPUT PROCESSING IN SOFTWARE-DEFINED STORAGE SYSTEMS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
INPUT-OUTPUT PROCESSING IN SOFTWARE-DEFINED STORAGE SYSTEMS
Organization Name
Inventor(s)
Adnan Sahin of Needham MA (US)
INPUT-OUTPUT PROCESSING IN SOFTWARE-DEFINED STORAGE SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240103898 titled 'INPUT-OUTPUT PROCESSING IN SOFTWARE-DEFINED STORAGE SYSTEMS
Simplified Explanation
The patent application describes an apparatus that can efficiently read data from a software-defined storage system by utilizing read-only data stored in local storage of virtual computing instances.
- The processing device receives a request to read data from one of multiple storage nodes in the storage system.
- Portions of data in persistent storage are also stored as read-only data in local storage of virtual computing instances.
- If the requested data is part of the read-only data in local storage, it is read from there. Otherwise, it is read from the write cache or persistent storage.
Potential Applications
This technology could be applied in cloud computing environments, data centers, and distributed storage systems to improve data access and retrieval efficiency.
Problems Solved
1. Efficient data retrieval: By utilizing read-only data stored locally, the system can reduce the need to access slower persistent storage for frequently requested data. 2. Improved performance: Reading data from local storage of virtual computing instances can lead to faster response times for read requests.
Benefits
1. Faster data access: By leveraging read-only data in local storage, the system can provide quicker access to frequently accessed data. 2. Reduced load on persistent storage: Accessing data from local storage reduces the workload on persistent storage, potentially extending its lifespan.
Potential Commercial Applications
"Enhancing Data Retrieval Efficiency in Cloud Computing Environments"
Possible Prior Art
One possible prior art could be the use of caching mechanisms in storage systems to improve data access times. Another could be the implementation of read-only data copies in local storage for faster retrieval.
What are the specific technical details of the processing device in the apparatus described in the patent application?
The specific technical details of the processing device, such as its architecture, processing speed, and memory capacity, are not provided in the abstract. Further details on how the processing device determines the location of the requested data and manages the read operations could provide more insight into its functionality.
How does the apparatus ensure data consistency between the read-only data in local storage and the write cache or persistent storage?
The abstract does not mention how the apparatus ensures data consistency between the read-only data in local storage and the write cache or persistent storage. Implementing mechanisms such as data synchronization protocols or periodic data validation checks could be potential solutions to maintain data consistency across different storage nodes.
Original Abstract Submitted
an apparatus comprises a processing device configured to receive, from one of two or more storage nodes of a software-defined storage system comprising a write cache and persistent storage, a request to read a given portion of data. one or more portions of data in the persistent storage are also stored as read-only data in local storage of virtual computing instances implementing the storage nodes. the processing device is configured to read the given portion of data from the local storage of the virtual computing instances responsive to determining that the given portion of data is part of the read-only data in the local storage of the virtual computing instances, and to read the given portion of data from the write cache or persistent storage responsive to determining that the given portion of data is not part of the read-only data in the local storage of the virtual computing instances.
