A Review: Hadoop Storage and Clustering Algorithms
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 1
Abstract
Abstract : In the last few years there has been voluminous increase in the storing and processing of data, which require convincing speed and also requirement of storage space. Big data is a defined as large, diverseand complex data sets which has issues of storage, analysis and visualization for processing results. Four characteristics of Big data which are–Volume, Value, Variety and Velocity makes it difficult for traditional systems to process the big data. Apache Hadoop is an auspicious software framework that develops applications that process huge amounts of data in parallel with large clusters of commodity hardware in a fault-tolerant and veracious manner. Various performance metrics such as reliability, fault tolerance, accuracy, confidentiality and security are improved as with the use of Hadoop. Hadoop MapReduce is an effective Computation Model for processing large data on distributed data clusters such as Clouds. We first introduce the general idea of big data and then review related technologies, such as could computing and Hadoop. Various clustering techniques are also analyzed based on parameters like numbers of clusters, size of clusters, type of dataset and noise.
Authors and Affiliations
Latika Kakkar , Gaurav Mehta
Keywords
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