Network Operations (NetOps) Data Transport Optimization Engine

The DataSoft Cost-Effective Approaches to NetOps Optimization Engine (CANOE) limits the scope of NetOps data gathered at the source and cross-network by dynamically identifying the fraction of data that is most relevant to the current network status and transmitting or forwarding only that data. This approach is based on the observation that most of the data currently being gathered and transmitted is not interesting. Many performance monitoring parameters rarely change or vary outside of a nominal range except under fault conditions. We propose to optimize the collection of NetOps data by dynamically determining the information content and prioritizing data transmission based on information content ratings. In addition, our approach develops a simpler interface for interoperation between network management elements that focuses on the specific needs of NetOps applications while building on existing standards.