Cloud service in stock trading game: Service virtualization, integration and financial application

More and more cloud services emerging because of increased demand, but there is significant room for improvement. We propose architecture to integrate public cloud services for reducing costs. We consider three issues: (1) The general cloud storage services are unsuitable for large and complex data. A NoSQL datastore, the most common type of database for big data, can process operational information. (2) Integrating several cloud services into centralized systems or applications is challenging. (3) Enterprises often use their own equipment, which accounts for a large part of their costs. This study aims to construct cross-service architecture via free cloud-based NoSQL datastores for virtualizing and integrating needed computing resources and services. We build a stock trading game to test the feasibility and performance of the proposed architecture which can reduce equipment costs by virtualizing computing resources through various cloud-based services.