Abstract

The main aim of this survey is to explore the existing replication strategies in cloud database so that the researchers can include all the necessary metrics in their works in this domain and the limitation s of the existing ones can be overcome. Cloud computing is a promising paradigm that provides computing resources as a service over a network. A number of data replication approaches have been presented for data cloud in the earlier decades. All replication technique access some attributes such as fault tolerance, scalability, reliability, performance, storage consumption, data access time etc. In this review, diverse issues included in data replication methodologies is distinguished and distinctive replication procedures are study to discover which attributes is tended to in a given and which is ignored. To categorize the techniques, all articles that had the word “dynamic data replication” in its title or as its keyword published between January 2003 to December 2014, is first selected from the scientific journals: IEEE, Elsevier, Springer and international journals. Here, we categorize the research based on three dissimilar perspectives, like features utilized application utilized and parameter measure. In addition, this study gives an elaborate idea about cloud computing based dynamic data replication.

Keywords:

Cloud computing, dynamic data, features, fault tolerance, replication , resources,

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