Teradata US, Inc. (20240330187). COST-AWARE CACHING OF OBJECTS FROM A DATA STORE simplified abstract
Contents
COST-AWARE CACHING OF OBJECTS FROM A DATA STORE
Organization Name
Inventor(s)
Yang Xiang of San Diego CA (US)
COST-AWARE CACHING OF OBJECTS FROM A DATA STORE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240330187 titled 'COST-AWARE CACHING OF OBJECTS FROM A DATA STORE
The patent application describes a system and method for caching data objects retrieved from a network object store or cloud storage accessible by a database management node. The retrieved data objects are stored in cache memory within the database management node, which has multiple cache zones with different input/output latencies for data access. The placement of data objects in the cache zones is based on the associated costs, with higher-cost objects placed in zones with lower latencies.
- Data objects retrieved from a network object store or cloud storage are cached within a database management node.
- The cache memory in the node has multiple zones with varying input/output latencies.
- Data objects are placed in cache zones based on access and storage costs associated with the objects.
- Costs can be determined from object store vendor costs, storage tier levels, locations of the management node and object store, method of connection, or a pricing matrix.
- Higher-cost data objects are placed in cache zones with lower latencies for faster access.
Potential Applications: - Database management systems - Cloud storage optimization - Network object caching
Problems Solved: - Efficient storage and retrieval of data objects - Cost-effective caching strategies - Optimization of data access latency
Benefits: - Improved performance of database queries - Cost savings on data storage and access - Enhanced scalability of network object stores
Commercial Applications: Title: Cost-Effective Data Object Caching System for Database Management This technology can be utilized in various industries such as e-commerce, healthcare, finance, and telecommunications for optimizing data storage and access, improving system performance, and reducing operational costs.
Questions about the technology: 1. How does the system determine the associated costs of data objects for caching? 2. What are the key factors influencing the placement of data objects in different cache zones based on costs?
Original Abstract Submitted
a system and method for caching data objects retrieved from a network object store or cloud storage remotely accessible by a database management node. retrieved data objects are stored within the database management node in a cache memory having multiple cache zones providing different input/output (i/o) latencies with respect to cache data access. retrieved data objects are placed within the cache zones in accordance with access and storage costs associated with the retrieved data objects, wherein data objects having higher associated costs are placed in cache zones having lower i/o latencies. the costs associated a data object may be determined from object store vendor costs, object store storage tier levels, locations of the data management node and the object store, method of connection to the object store, or read from a pricing matrix containing predetermined object costs associated with stored data objects.
