MSA vs. MVC: Future Trends for Big Data Processing Platforms

摘要

Big data processing systems design is highly prioritized concern for both academia and industry. The conventional MVC architecture exposes limitations on system scalability and consistency. The task of integrating new services into an existing commercial application platform has become an impossible task and torturing nightmare for the system development team. The innovative MSA architecture is aimed to solve such a problem. The main contribution of this paper is comparison between the MSA and MVC system design and development architectures, summaries future research and development issues and challenges. This paper first discusses the problems and challenges of big data management, compares and discusses the characteristics of MVC and MSA patterned big data processing (BDP) platforms. Then we verify the MSA big data management systems, distributed data storage and the progress of the large data storage architecture utilize an experimental BDP platform. Finally list future research and development direction to provide valuable reference for further work.