Abstract
In this article we were studying the types of architectures for cloud processing and storage of data, data consolidation and enterprise storage. Special attention is given to the use of large data sets in computational process. It was shown, that based on the methods of theoretical analysis and experimental study of computer systems architectures, including heterogeneous, special techniques of data processing, large volumes of information models relevant architectures, methods of optimization software for the heterogeneous systems, it is possible to ensure the integration of computer systems to provide computations with very large data sets.
1 Introduction
Cloud computing and cloud storage systems have gained popularity as the most convenient way of transferring information and providing functional tools on the Internet. Some cloud services offer a wide range of services and functions to individual consumers (online shopping and online multimedia technologies, social networks, environment for e-commerce and protect critical digital documents), and the other commercial structures, that support the work of small and medium-sized businesses, large corporations, government and other institutions[1].
10 Conclusions
Consolidation of data in distributed heterogeneous systems is an important and challenging task. Out of existing approaches to solving this problem, the most appropriate approach is that of federal databases. Creating and managing such a structure requires the use of specialized software, which in turn must meet a number of requirements for transparency, heterogeneity, security, performance, etc. On market integration software there are a number of solutions from major manufacturers, build on industrial relational database, based on which you can organize a federal structure data access. To select a specific solution, the detailed examination for compliance with the requirements for systems of this type must be made. In this research we can point out the following results.
