Highly scalable and autonomous NetOps Analytics (SANA) system for Navy tactical networks

Todays naval networking environment is primarily composed of several enterprise computing and communications environments, which can be characterized as large scale heterogeneous network environments. Due to the inherited complex and heterogamous nature of network, it is quite challenging to provide synchronized view of data, autonomous analytics from geographically dispersed, large volume of data. To overcome such challenging issues, Intelligent Automation, Inc. propose to develop a highly scalable and autonomous NetOps Analytics (SANA) system, which defines and captures abnormalities in information and network behaviors to generate alert if any abnormalities are detected. In addition, proposed SANA system maps missions into required resources and guarantees synchronized information sharing to increase level of information value, health and trust. In Phase I, the prototype SANA system was developed on cloud platform and its performance was evaluated. The preliminary performance evaluation confirmed that the SANA system outperforms conventional single server based solution in terms of CPU/memory utilization and computation delay. The evaluation results also confirms that the SANA system can handle multiple query/computation requests simultaneously with large volume of input data.