Partitioning Techniques in Cloud Data Storage: Review Paper

Kiranjit Kaur, Vijay Laxmi


As there is large amount of data generated from various web applications which are difficult to manage in cloud databases. Solution to this problem is to partition the data. In this paper three techniques named Horizontal, vertical and workload driven partitioning are reviewed. The main focus of the paper is to compare these techniques on the bases of complexity, scalability, consistency and number of distributed transactions. It provides result, based on that we can choose the most relevant partitioning technique to store cloud data.


Cloud database, horizontal partitioning, vertical partitioning, workload driven partitioning, complexity, scalability, consistency, distributed transactions

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