Cloud-Based Real-time Data Dissemination and Scalable Storage for Track Management

Cloud computing virtualizes the presence of servers, software, and data, and makes them accessible to users on demand. By abstracting the details of how the resources are stored, consumers no longer need the expertise or the control over the technology infrastructure. The consumer reaps many benefits as a result, and the goal is to bring these benefits to a track management system (TMS). While the current model for providing a cloud infrastructure with geographically centralized servers may work with enterprise systems, this model does not address the TMS requirement of handling data from a distributed network as a ubiquitous service. RTI proposes to develop a coherent cloud-based data management infrastructure to fulfill the key needs of TMS: predictable data dissemination, fault-tolerant scalable storage for historical data, ubiquitous access to historical and real-time data, and a common interface to the consumer. The proposed data-management infrastructure will use the Object Management Group"s (OMG) Data Distribution Service (DDS) standard for high performance peer-to-peer data delivery and a scalable persistence mechanism to address the limitations of RDBMS in the cloud environment. Together, these technologies will significantly reduce the need for administration and eliminate single points of failure in TMS.