Today, Hadoop Distributed File System (HDFS) is widely used to provide scalable and fault-tolerant storage of large volumes of data. One of the key issues that affect the performance of HDFS is the placement of data replicas. Although the current HDFS replica placement policy can achieve both fault tolerance and read/write efficiency, the policy cannot evenly distribute replicas across cluster nodes, and has to rely on load balancing utility to balance replica distributions. In this paper, we present a new replica placement policy for HDFS, which can generate replica distributions that are not only perfectly even but also meet all HDFS replica placement requirements
Nowadays, replication technique is widely used in data centerstorage systems to prevent data loss. D...
The current Hadoop block placement policy do not fairly and evenly distributes replicas of blocks wr...
HDFS (Hadoop Distributed File System) isdesigned to store big data reliably, and it hasbeen distribu...
Load balance is a crucial issue for data-intensive computing on cloud platforms, because a load bala...
The Hadoop Distributed File System (HDFS) is a distributed storage system that stores large volumes ...
Replication is an essential corner stone fordata storage not only for traditional storage systemsbut...
Replication plays an important role for storage system to improve data availability, throughputand r...
Apache Hadoop is an open-source softwareframework for distributed storage and distributedprocessing ...
The Hadoop distributed file system (HDFS) is responsible for storing very large data-sets reliably o...
Nowadays, big data problems are ubiquitous, which in turn creates huge demand for data-intensive com...
International audienceData replication is the main fault tolerance mechanism implemented by the HDFS...
International audienceThe Hadoop Distributed File System (HDFS) is designed to store and transfer da...
The Hadoop distributed fle system (HDFS) is responsible for storing very large datasets reliably on ...
The Hadoop distributed fle system (HDFS) is responsible for storing very large datasets reliably on ...
The Hadoop distributed fle system (HDFS) is responsible for storing very large datasets reliably on ...
Nowadays, replication technique is widely used in data centerstorage systems to prevent data loss. D...
The current Hadoop block placement policy do not fairly and evenly distributes replicas of blocks wr...
HDFS (Hadoop Distributed File System) isdesigned to store big data reliably, and it hasbeen distribu...
Load balance is a crucial issue for data-intensive computing on cloud platforms, because a load bala...
The Hadoop Distributed File System (HDFS) is a distributed storage system that stores large volumes ...
Replication is an essential corner stone fordata storage not only for traditional storage systemsbut...
Replication plays an important role for storage system to improve data availability, throughputand r...
Apache Hadoop is an open-source softwareframework for distributed storage and distributedprocessing ...
The Hadoop distributed file system (HDFS) is responsible for storing very large data-sets reliably o...
Nowadays, big data problems are ubiquitous, which in turn creates huge demand for data-intensive com...
International audienceData replication is the main fault tolerance mechanism implemented by the HDFS...
International audienceThe Hadoop Distributed File System (HDFS) is designed to store and transfer da...
The Hadoop distributed fle system (HDFS) is responsible for storing very large datasets reliably on ...
The Hadoop distributed fle system (HDFS) is responsible for storing very large datasets reliably on ...
The Hadoop distributed fle system (HDFS) is responsible for storing very large datasets reliably on ...
Nowadays, replication technique is widely used in data centerstorage systems to prevent data loss. D...
The current Hadoop block placement policy do not fairly and evenly distributes replicas of blocks wr...
HDFS (Hadoop Distributed File System) isdesigned to store big data reliably, and it hasbeen distribu...