Cloud Data Management: A Short Overview and Comparison of Current Approaches
Siba Mohammad, Sebastian Breß, Eike Schallehn · 2012
Users / Applications 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. Query Language 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 Distributed cloud. Different Processing architectures System with a variety of data partitioning schemes and replica placement strategies were developed. As for the data model, the key-value pairs with Structured its variations Data System 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 Distributed as anStorage entry point System for orientation of future research regarding new applications in cloud computing and advanced requirements for data management. 1.