A near-optimal & load balanced resilient system design for high-performance computing platform

With the recent development and advancement of business growth models, information exchange has emerged as a critical component of computer communication technology. To serve dynamic business models with the latest data, most system architecture tends to retrieve data from back-end systems in real-time. Numerous leading organizations have started to think of or are implementing two different platforms: read cluster and write cluster. In this article, we propose a model that adopts a data streaming system and a data caching mechanism for faster access to real-time and non-real-time data. This system only focuses on providing the read data elements and reducing most of the load in the existing cluster(s). Our mathematical and simulation performance analysis shows a clear distinction and comparison between the current and proposed systems architecture.