Erasure coding, a new feature in HDFS, can reduce storage overhead by approximately 50% compared to replication while maintaining the same durability guarantees. This would allow to save a lot of disk capacity in needed by project hosted in CERN IT Hadoop service. The goal of the project is to evaluate the new features of Hadoop 3 and make an assessment of its readiness for production systems (this includes installation and configuration of a test hadoop3 cluster, copying production data to it, conducting multiple performance test on the data)
Apache Hadoop is an open-source software framework for distributed storage and distributed processin...
HADOOP is an open-source virtualization technology that allows the distributed processing of large d...
Abstract- Hadoop YARN is a software framework that supports data intensive distributed application. ...
Apache Hadoop is a set of 2 domains: data computation such as Spark, MapReduce, Flink, etc and data ...
International audienceReplication has been successfully employed and practiced to ensure high data a...
Abstract: A simple replication-based mechanism has been used to achieve high data reliability of Had...
International audienceData-intensive clusters are heavily relying on distributed storage systems to ...
Existing disk based recorded stockpiling frameworks are insufficient for Hadoop groups because of th...
The amount of data stored in modern data centres is growing rapidly nowadays. Large-scale distribute...
Distributed storage systems are increasingly transition-ing to the use of erasure codes since they o...
Nowadays the global amount of digital data increases rapidly. Internet-connected devices generate ma...
The storage group of CERN IT operates more than 20 individual EOS[1] storage services with a raw dat...
Abstract. Hadoop is an open-source data processing framework that includes a scalable, fault-toleran...
Data storage is one of the important resources in cloudcomputing. There is a need to manage the data...
Today's exponential growth in network bandwidth and storage capacity has inspired different cla...
Apache Hadoop is an open-source software framework for distributed storage and distributed processin...
HADOOP is an open-source virtualization technology that allows the distributed processing of large d...
Abstract- Hadoop YARN is a software framework that supports data intensive distributed application. ...
Apache Hadoop is a set of 2 domains: data computation such as Spark, MapReduce, Flink, etc and data ...
International audienceReplication has been successfully employed and practiced to ensure high data a...
Abstract: A simple replication-based mechanism has been used to achieve high data reliability of Had...
International audienceData-intensive clusters are heavily relying on distributed storage systems to ...
Existing disk based recorded stockpiling frameworks are insufficient for Hadoop groups because of th...
The amount of data stored in modern data centres is growing rapidly nowadays. Large-scale distribute...
Distributed storage systems are increasingly transition-ing to the use of erasure codes since they o...
Nowadays the global amount of digital data increases rapidly. Internet-connected devices generate ma...
The storage group of CERN IT operates more than 20 individual EOS[1] storage services with a raw dat...
Abstract. Hadoop is an open-source data processing framework that includes a scalable, fault-toleran...
Data storage is one of the important resources in cloudcomputing. There is a need to manage the data...
Today's exponential growth in network bandwidth and storage capacity has inspired different cla...
Apache Hadoop is an open-source software framework for distributed storage and distributed processin...
HADOOP is an open-source virtualization technology that allows the distributed processing of large d...
Abstract- Hadoop YARN is a software framework that supports data intensive distributed application. ...