Hadoop, a Java Software Framework, supports data intensive data-intensive distributed applications. Hadoop is developed under open source license. It enables applications to work with thousands of nodes and petabytes of data. Hadoop has formed framework for Big Data analysis. Its MapReduce technique made it more useful for huge amout of data processing. Hadoop is incorporated with cloud computi...

Hadoop-BAM is a novel library for the scalable manipulation of aligned next-generation sequencing data in the Hadoop distributed computing framework. It acts as an integration layer between analysis applications and BAM files that are processed using Hadoop. Hadoop-BAM solves the issues related to BAM data access by presenting a convenient API for implementing map and reduce functions that can ...

MapReduce and its popular open source implementation, Hadoop, are moving toward ubiquitous for Big Data storage and processing. Therefore, it is essential to quantitatively evaluate and characterize the Hadoop deployment through extensive benchmarking. In this paper, we present HiBench [1], a representative and comprehensive benchmark suite for Hadoop, which consists of a set of Hadoop programs...

A Hadoop system provides execution and multiplexing of many tasks in a common datacenter. There is a rising demand for sharing Hadoop clusters amongst various users, which leads to increasing system heterogeneity. However, heterogeneity is a neglected issue in most Hadoop schedulers. In this work we design and implement a new Hadoop scheduling system, named COSHH, which considers heterogeneity ...

Mochi, a new visual, log-analysis based debugging tool correlates Hadoop’s behavior in space, time and volume, and extracts a causal, unified controland dataflow model of Hadoop across the nodes of a cluster. Mochi’s analysis produces visualizations of Hadoop’s behavior using which users can reason about and debug performance issues. We provide examples of Mochi’s value in revealing a Hadoop jo...

Mochi, a new visual, log-analysis based debugging tool correlates Hadoop’s behavior in space, time and volume, and extracts a causal, unified controland dataflow model of Hadoop across the nodes of a cluster. Mochi’s analysis produces visualizations of Hadoop’s behavior using which users can reason about and debug performance issues. We provide examples of Mochi’s value in revealing a Hadoop jo...

Cloud Computing is emerging as a new computational paradigm shift. Hadoop-MapReduce has become a powerful Computation Model for processing large data on distributed commodity hardware clusters such as Clouds. In all Hadoop implementations, the default FIFO scheduler is available where jobs are scheduled in FIFO order with support for other priority based schedulers also. In this paper we study ...

2. Introduction Hadoop [1] is an open-source software framework implemented using Java and is designed to be used on large distributed systems. Hadoop is a project of the Apache Software Foundation and is a very popular software tool due, in part, to it being opensource. Yahoo! Has contributed to about 80% of the main core of Hadoop [3], but many other large technology organizations have used o...

MapReduce is implementation for generating large data sets with a parallel, distributed algorithm on a cluster. Hadoop is open source implementation of the MapReduce programming datamodel used for large-scale parallel applications such as web indexing, data mining, and scientific simulation. Hadoop-A framework is able to levitate Hadoop acceleration and give significant performance compared to ...