complexity of the other parts of the cluster. Parallel file systems are a type of clustered file system that spread data across multiple storage nodes, usually...

those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistical data analysis, used in many fields...

computer cluster is a set of computers that work together so that they can be viewed as a single system. Unlike grid computers, computer clusters have each...

last sector filled with zeroes. In practice, operating systems typically operate on blocks of data, which may span multiple sectors. Geometrically, the...

database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts...

record) can be larger than the number of sectors used by data (clusters × sectors per cluster), FATs (number of FATs × sectors per FAT), the root directory...

NTFS file system driver will sometimes attempt to relocate the data of some of the attributes that can be made non-resident into the clusters, and will...

mixture modeling. They both use cluster centers to model the data; however, k-means clustering tends to find clusters of comparable spatial extent, while...

the number of clusters in a data set, a quantity often labelled k as in the k-means algorithm, is a frequent problem in data clustering, and is a distinct...

is a method of interpretation and validation of consistency within clusters of data. The technique provides a succinct graphical representation of how...

Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high-dimensional...

storage and processing of big data using the MapReduce programming model. Hadoop was originally designed for computer clusters built from commodity hardware...

In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to...

clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster...

system. It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability. MySQL Cluster is...

file system, generally used for large-scale cluster computing. The name Lustre is a portmanteau word derived from Linux and cluster. Lustre file system software...

redundant computers in groups or clusters that provide continued service when system components fail. Without clustering, if a server running a particular...

computer science, data stream clustering is defined as the clustering of data that arrive continuously such as telephone records, multimedia data, financial...

to act like a single computer Data cluster, an allocation of contiguous storage in databases and file systems Cluster analysis, the statistical task...

ONTAP, Data ONTAP, Clustered Data ONTAP (cDOT), or Data ONTAP 7-Mode is NetApp's proprietary operating system used in storage disk arrays such as NetApp...

(High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform developed by...

contrast to distributed file systems which distribute data throughout the cluster. GFS2 can also be used as a local file system on a single computer. GFS2...

extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies...

availability through clustering—the ability to distribute the system over multiple physical machines. This allows clustered applications and data to remain continuously...

multivariate statistics, spectral clustering techniques make use of the spectrum (eigenvalues) of the similarity matrix of the data to perform dimensionality...

access to data using large clusters of commodity hardware. Google file system was replaced by Colossus in 2010. GFS is enhanced for Google's core data storage...

unsuitable for random data access. The formatted data is only reconstructed into memory once the system restarts. Redis also provides a data model that is very...

The Beehive Cluster (also known as Praesepe (Latin for "manger", "cot" or "crib"), M44, NGC 2632, or Cr 189), is an open cluster in the constellation Cancer...

management system designed to handle large volumes of data across multiple commodity servers. Cassandra supports clusters and spanning of multiple data centers...

analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance...