Hadoop Distributed File System (HDFS) is designed to store big data reliably, and to stream these data at high bandwidth to user applications. However, the default HDFS block placement policy assumes that all nodes in the cluster are homogeneous, and randomly place blocks without considering any nodes’ resource characteristics, which decreases self-adaptability of the system. In this paper, we ...

Data storage and data access represent the key of CPU-intensive and data-intensive high performance Grid computing. Hadoop is an open-source data processing framework that includes fault-tolerant and scalable distributed data processing model and execution environment, named MapReduce, and distributed File System, named Hadoop distributed File System (HDFS). HDFS was deployed and tested within ...

The Quantcast File System (QFS) is an efficient alternative to the Hadoop Distributed File System (HDFS). QFS is written in C++, is plugin compatible with Hadoop MapReduce, and offers several efficiency improvements relative to HDFS: 50% disk space savings through erasure coding instead of replication, a resulting doubling of write throughput, a faster name node, support for faster sorting and ...

The Hadoop Distributed File System at Yahoo! stores 40 petabytes of application data across 30,000 nodes . The most conventional strategy for data protection—just make a copy somewhere else—is not practical for such large data sets . To be a good custodian of this much data, HDFS must continuously manage the number of replicas for each block, test the integrity of blocks, balance the usage of r...

The data generated and processed by modern computing systems burgeon rapidly. MapReduce is an important programming model for large scale data intensive applications. Hadoop is a popular open source implementation of MapReduce and Google File System (GFS). The scalability and fault-tolerance feature of Hadoop makes it as a standard for BigData processing. Hadoop uses Hadoop Distributed File Sys...

Hadoop is a software framework that supports data intensive distributed application. Hadoop creates clusters of machine and coordinates the work among them. It include two major component, HDFS (Hadoop Distributed File System) and MapReduce. HDFS is designed to store large amount of data reliably and provide high availability of data to user application running at client. It creates multiple da...

A large volume of remote sensing (RS) data has been generated with the deployment satellite technologies. The facilitates research in ecological monitoring, land management and desertification, etc. characteristics RS (e.g., enormous volume, single-file size demanding requirement fault tolerance) make Hadoop Distributed File System (HDFS) an ideal choice for storage as it is efficient, scalable...

Although the upregulation of enhancer of zeste homolog 2 (EZH2) expression and downregulation of long non-coding RNA (lncRNA) LET expression are known to be associated with cell apoptosis and proliferation, little is known about the interaction of EZH2 with lncRNA LET. The present study aimed to investigate the interaction of EZH2 and lncRNA LET, and the mechanism of human dermal fibroblast (HD...

A generic research platform with 2-dimensional (2D) cell culture technology, a 3-dimensional (3D) in vitro tissue model, and a scaled-down cell culture and imaging system in between, was utilized to address the problematic issues associated with the use of serum in skin tissue engineering. Human dermal fibroblasts (HDFs) and immortalized keratinocytes (HaCat cells) mono- or co-cultured in serum...