这项专利的落地，预计将对中国电信在 大数据 存储和处理方面的应用产生积极影响。首先，通过减少小文件数量，可以显著提升HDFS的存储效率和I/O性能，降低存储成本。其次，自动化合并机制能够减轻运维人员的工作负担，提高管理效率。最后，更高效的存储和处理能力将为中国电信在云计算、人工智能、物联网等领域的业务发展提供更坚实的基础。

HDFS是Hadoop实现的分布式文件系统（Hadoop Distributed File System），为海量数据提供高吞吐量、高扩展、高可靠和高容错性的存储。

This paper provides a high-level overview of how Apache Cassandra™ can be used to replace HDFS, with no programming changes required from a developer perspective, and how a number of compelling ...

The Hadoop Distributed File System (HDFS) is considered a core component of Hadoop, but it’s not an essential one. Lately, IBM has been talking up the benefits of hooking Hadoop up to the General ...

Abstract—The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, ...

While reports of Hadoop’s death are premature, the notion that Hadoop Distributed File System (HDFS) clusters will store the majority of enterprise’s data clearly is not panning out. Hadoop, like ...

Modern systems, such as Hadoop Distributed File System (HDFS), are primarily designed for large datasets and are often burdened by the metadata overhead when managing vast numbers of small files.

BlueTalon Unveils Industry-First Fine-Grained Data Access Control on Hadoop Distributed File System (HDFS) With Filtering and Dynamic Data Masking Capabilities ...

However, Hadoop’s eponymous file system (Hadoop Distributed File System, aka HDFS) may not be all it’s cracked up to be. What is a distributed file system?

You can now find it on GitHub. The default Hadoop file system is called Hadoop Distributed File System (HDFS). CEO Konrad Feldman says Quantcast started using Hadoop in 2006.