An Information-Centric Architecture for Server Clustering Towards 3D Data-Intensive Applications

摘要

Data-intensive applications, such as three-dimensional (3D) virtual reality, typically involve a large amount of data interaction, so that the server becomes a system performance bottleneck, as users become larger. In order to overcome the shortcomings of existing service models, this paper proposes an information-centric architecture (ICA) for server clustering towards data intensive applications, which ensures transparent and effective access, and supports various types of services with different dynamic requirements of storage and bandwidth by quantitatively partitioning service functions and using the modular realization. Finally, a data-intensive 3D virtual reality project was tested and the results show that the proposed scheme has good scalability and efficiency.