Cloud Data Management: A Short Overview and Comparison of Current Approaches
نویسندگان
چکیده
To meet the storage needs of current cloud applications, new data management systems were developed. Design decisions were made by analyzing the applications workloads and technical environment. It was realized that traditional Relational Database Management Systems (RDBMSs) with their centralized architecture, strong consistency, and relational model do not fit the elasticity and scalability requirements of the cloud. Different architectures with a variety of data partitioning schemes and replica placement strategies were developed. As for the data model, the key-value pairs with its variations were adopted for cloud storage. The contribution of this paper is to provide a comprehensible overview of key-characteristics of current solutions and outline the problems they do and do not address. This paper should serve as an entry point for orientation of future research regarding new applications in cloud computing and advanced requirements for data management.
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