MapReduce : Simplified Data Processing on Large Clusters

Map-Reduce is a programming model that enables easy development of scalable parallel applications to process a vast amount of data on large clusters of commodity machines. Through a simple interface with two functions, map and reduce, this model…

Map-Reduce is a programming model that enables easy development of scalable parallel applications to process a vast amount of data on large clusters of commodity machines. Through a simple interface with two functions, map and reduce, this model…

The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing platforms. MapReduce and Dryad are two popular platforms in which the…

Large-scale visualization systems are typically designed to efficiently &x201C;push&x201D; datasets through the graphics hardware. However, exploratory visualization systems are increasingly expected to support scalable data manipulation,…

An approximate equation for data processing is proposed for the simultaneous determination of catalysts by catalytic kinetics. On applying the equation to the reaction between two reactants catalysed by two catalysts, the calculation is simplified…

Page 1. This Master's Thesis is carried out as a part of the education at the University of Agder and is therefore approved as a part of this education. University of Agder, 2011 May Faculty of Engineering and Science Department of Information and…

Combined use of a microcomputer of sufficient capacity and a commercial program for data processing permits simple storage and exploitation of hospital case-records in an ENT department of moderate size. The principal advantages of the system reside…

Future missions such as Constellation-X plan to use arrays of 1000 or more microcalorimeters with peak count rates of 1000 per second on a single pixel and 10,000 per second across the array. These requirements put severe constraints on the data…

Map Reduce is a key-value based programming model and an associated implementation for processing large data sets. It has been adopted in various scenarios and seems promising. However, when spatial computation is expressed straightforward by this…

Aprominent parallel data processing tool MapReduce is gain- ing significant momentum from both industry and academia as the volume of data to analyze grows rapidly. While MapRe- duce is used in many areas where massive data analysis is re- quired,…