KTHFS is a highly available and scalable file system built from the version 0.24 of the Hadoop Distributed File system. It provides a platform to overcome the limitations of existing distributed file systems. These limitations include scalability of metadata server in terms of memory usage, throughput and its availability. This document describes KTHFS architecture and how it addresses these problems by providing a well coordinated distributed stateless metadata server (or in our case, Namenode) architecture. This is backed with the help of a persistence layer such as NDB cluster. Its primary focus is towards High Availability of the Namenode. It achieves scalability and recovery by persisting the metadata to an NDB cluster. All namenodes a...
Distributed hierarchical file systems typically decouple the storage and serving of the file metadat...
The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to...
Distributed hierarchical file systems typically decouple the storage and serving of the file metadat...
The Hadoop Distributed Filesystem (HDFS) is the storage layer of Hadoop, scaling to support tens of ...
The increasing use of computing resources in our daily lives leads to data generation at an astonish...
The growing size of modern storage systems is expected to achieve and exceed billions of objects, ma...
The Hadoop platform is the most common solution to handle the explosion of big-data that both compan...
Abstract — in today’s world, require Data Recovery system is most challenging aspects in the interne...
International audienceThe Hadoop Distributed File System (HDFS) scales to store tens of petabytes of...
The Hadoop Distributed File System (HDFS) scales to store tens of petabytes of data despite the fact...
The Hadoop Distributed File System (HDFS) scales to store tens of petabytes of data despite the fact...
Abstract. The Hadoop Distributed File System (HDFS) is the storage layer for Apache Hadoop ecosystem...
The Hadoop Distributed File System (HDFS) scales to store tens of petabytes of data despite the fact...
In data intensive computing and organization the growth of data is phenomenon and unpredictable. To ...
Data storage is one of the important resources in cloudcomputing. There is a need to manage the data...
Distributed hierarchical file systems typically decouple the storage and serving of the file metadat...
The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to...
Distributed hierarchical file systems typically decouple the storage and serving of the file metadat...
The Hadoop Distributed Filesystem (HDFS) is the storage layer of Hadoop, scaling to support tens of ...
The increasing use of computing resources in our daily lives leads to data generation at an astonish...
The growing size of modern storage systems is expected to achieve and exceed billions of objects, ma...
The Hadoop platform is the most common solution to handle the explosion of big-data that both compan...
Abstract — in today’s world, require Data Recovery system is most challenging aspects in the interne...
International audienceThe Hadoop Distributed File System (HDFS) scales to store tens of petabytes of...
The Hadoop Distributed File System (HDFS) scales to store tens of petabytes of data despite the fact...
The Hadoop Distributed File System (HDFS) scales to store tens of petabytes of data despite the fact...
Abstract. The Hadoop Distributed File System (HDFS) is the storage layer for Apache Hadoop ecosystem...
The Hadoop Distributed File System (HDFS) scales to store tens of petabytes of data despite the fact...
In data intensive computing and organization the growth of data is phenomenon and unpredictable. To ...
Data storage is one of the important resources in cloudcomputing. There is a need to manage the data...
Distributed hierarchical file systems typically decouple the storage and serving of the file metadat...
The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to...
Distributed hierarchical file systems typically decouple the storage and serving of the file metadat...