Volume 13, Number 4
Mamadou Diarra and Telesphore Tiendrebeogo, Nazi Boni University, Burkina Faso
Distributed databases and data replication are effective ways to increase the accessibility and reliability of
un-structured, semi-structured and structured data to extract new knowledge. Replications offer better
performance and greater availability of data. With the advent of Big Data, new storage and processing
challenges are emerging.
To meet these challenges, Hadoop and DHTs compete in the storage domain and MapReduce and others in distributed processing, with their strengths and weaknesses.
We propose an analysis of the circular and radial replication mechanisms of the CLOAK DHT. We evaluate their performance through a comparative study of data from simulations. The results show that radial replication is better in storage, unlike circular replication, which gives better search results.
Replication, Big Data, MapReduce, CLOAK DHT, Load balancing.