A NOVEL APPROACH TO IMPROVE PERFORMANCE OF HADOOP USING EFFICIENT DATA AWARE CACHING FOR BIG DATA APPLICATION
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 4, Issue 7
Abstract
Continuous generation and explosion of large amount of data has focused the attention of researchers and scholars from industrial, academic area to capture the potential business opportunities and academic benefits from Big Data. The Hadoop MapReduce framework is developed and widely accepted by open-source communities for solving massive parallel processing operations with the help of distributed environment. MapReduce systems in various situations are applied to achieve definite performance goals, upgrade existing systems to meet increasing business demands using novel network topology, new scheduling algorithms and resource arrangement schemes. There are various applications which need recursive operations on input data. As most of data is unchanged in an iterative programs reloading and reprocessing it results in wasting Input/Output, network bandwidth, and CPU resources and also put extra load for scheduling tasks, reading data from disk, and moving across the network. To avoid the load of these extra operations, new efficient data aware caching framework is introduced with the help
Authors and Affiliations
Shakil B. Tamboli
Keywords
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