During the last few decades, Data-intensive File Systems (DiFS), such as Google File System (GFS) and Hadoop Distributed File System (HDFS) have become the key storage architectures for big data processing. These storage systems usually divide files into fixed-sized blocks (or chunks). Each block is replicated (usually three-way) and distributed pseudo-randomly across the cluster. The master node (namenode) uses a huge table to record the locations of each block and its replicas. However, with the increasing size of the data, the block location table and its corresponding maintenance could occupy more than half of the memory space and 30% of processing capacity in master node, which severely limit the scalability and performance of master n...
International audienceThis paper proposes a new data placement policy to allocate data blocks across...
Hadoop distributed file system (HDFS) is the file system whereby Hadoop is use it to store all the u...
Existing file systems, even the most scalable systems that store hundreds of petabytes (or more) of ...
ABSTRACT: This study addresses the scalability issues involving file systems as critical components ...
[[abstract]]Hadoop Distributed File System (HDFS) is a popular cloud storage system that can scale u...
Abstract—Distributed File Systems are file systems that allow access to files from multiple hosts vi...
With the increasing popularity of cloud computing, current data centers contain petabytes of data in...
The architecture of the distributed hierarchical file system HDFS imposes limitations on its scalabi...
File systems store data in files and organize these files in directories. Over decades, file systems...
With the increasing popularity of cloud computing and Big data applications, current data centers ...
Data storage is one of the important resources in cloudcomputing. There is a need to manage the data...
The current Hadoop block placement policy do not fairly and evenly distributes replicas of blocks wr...
The Hadoop Distributed Filesystem (HDFS) is the storage layer of Hadoop, scaling to support tens of ...
For scalable data storage, Hadoop is widely used nowadays. It provides a distributed file system tha...
The Hadoop Distributed File System (HDFS) scales to store tens of petabytes of data despite the fact...
International audienceThis paper proposes a new data placement policy to allocate data blocks across...
Hadoop distributed file system (HDFS) is the file system whereby Hadoop is use it to store all the u...
Existing file systems, even the most scalable systems that store hundreds of petabytes (or more) of ...
ABSTRACT: This study addresses the scalability issues involving file systems as critical components ...
[[abstract]]Hadoop Distributed File System (HDFS) is a popular cloud storage system that can scale u...
Abstract—Distributed File Systems are file systems that allow access to files from multiple hosts vi...
With the increasing popularity of cloud computing, current data centers contain petabytes of data in...
The architecture of the distributed hierarchical file system HDFS imposes limitations on its scalabi...
File systems store data in files and organize these files in directories. Over decades, file systems...
With the increasing popularity of cloud computing and Big data applications, current data centers ...
Data storage is one of the important resources in cloudcomputing. There is a need to manage the data...
The current Hadoop block placement policy do not fairly and evenly distributes replicas of blocks wr...
The Hadoop Distributed Filesystem (HDFS) is the storage layer of Hadoop, scaling to support tens of ...
For scalable data storage, Hadoop is widely used nowadays. It provides a distributed file system tha...
The Hadoop Distributed File System (HDFS) scales to store tens of petabytes of data despite the fact...
International audienceThis paper proposes a new data placement policy to allocate data blocks across...
Hadoop distributed file system (HDFS) is the file system whereby Hadoop is use it to store all the u...
Existing file systems, even the most scalable systems that store hundreds of petabytes (or more) of ...