Volume 12, Number 4/5

Big Data Storage System Based on a Distributed Hash Tables System

  Authors

Telesphore Tiendrebeogo and Mamadou Diarra, Nazi Boni University, Burkina Faso

  Abstract

The Big Data is unavoidable considering the place of the digital is the predominant form of communication in the daily life of the consumer. The control of its stakes and the quality its data must be a priority in order not to distort the strategies arising from their treatment in the aim to derive profit. In order to achieve this, a lot of research work has been carried out companies and several platforms created. MapReduce, is one of the enabling technologies, has proven to be applicable to a wide range of fields. However, despite its importance recent work has shown its limitations. And to remedy this, the Distributed Hash Tables (DHT) has been used. Thus, this document not only analyses the and MapReduce implementations and Top-Level Domain (TLD)s in general, but it also provides a description of a model of DHT as well as some guidelines for the planification of the future research.

  Keywords

Big Data, MapReduce, Distributed Hash Table, Scaling.