International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014 | Popularity: 6.5 / 10


     

A Survey on Optimal Data Storage of Cache Manager for Big Data Using Map Reduce Framework

Rupali Pashte, Ritesh Thakur


Abstract: MapReduce is an open-source framework used for implement big-data sets. The very famous word big-data that points to the wide-ranging diffused applications that works on unmatched huge data sets. While processing on this big-data in-between abundant knowledge that being neglected after getting process finished. In this paper we analyze various techniques emerged for simplified data processing on large data sets (big-data) and along with new and very effective technique that sensible of data cache model (framework). In this model process collects its in-between data to the cache manager. This new proposed cache model reduces the execution time of the task as it checks in cache, which could keep and store up execution.


Keywords: Dache, MapReduce, Cache-management, big-data


Edition: Volume 3 Issue 12, December 2014


Pages: 1510 - 1513



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Rupali Pashte, Ritesh Thakur, "A Survey on Optimal Data Storage of Cache Manager for Big Data Using Map Reduce Framework", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 1510-1513, https://www.ijsr.net/getabstract.php?paperid=SUB14752, DOI: https://www.doi.org/10.21275/SUB14752



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