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Data Movement
This component facilitates the movement of messages and data between various publishers and interested subscribers. While a key component within DCAE, this is also the component that enables data movement between various OpenECOMP components.
Edge and Central Lake
DCAE supports a variety of applications and use cases. These range from real-time applications that have stringent latency requirements to other analytic applications that have a need to process a range of unstructured and structured data. The DCAE storage lake supports these needs and is scalable so that new storage technologies can be incorporated as they become available. Given the scope of requirements around the volume, velocity and variety of data that DCAE needs to support, the storage will technologies that Big Data has to offer, such as support for NOSQL technologies, including The storage lake uses big-data storage technologies such as in-memory repositories , and support for raw, structured, unstructured and semi-structured data to accommodate a broad scope of requirements such as large volume, velocity, and variety.
While . While there may be detailed data retained at the DCAE edge layer for detailed analysis and trouble-shooting, applications should optimize the use of precious bandwidth & and storage resources by ensuring they propagate propagating only the required data (for example, reduced, transformed, or aggregated, etc.) to the Core Data Lake core data lake for other analyses.
Analytic Framework
The Analytic Framework is an environment that allows for development of real-time applications (e.g., analytics, anomaly detection, capacity monitoring, congestion monitoring, alarm correlation etc.) as well as other non-real-time applications (e.g., analytics, forwarding synthesized or aggregated or transformed data to Big Data stores and applications); the intent is to structure the environment that allows for agile introduction of applications from various providers (Labs, IT, vendors, etc.). The framework should support the ability to process both a real-time stream of data as well as data collected via traditional batch methods. The framework should support methods that allow developers to compose applications that process data from multiple streams and sources. Analytic applications are developed by various organizations, however, they all run in the DCAE framework and are managed by the DCAE controller. These applications are micro-services developed by a broad community and adhere to ECOMP Framework standards.
Analytic Applications
he following list provides examples of types of applications that can be built on top of DCAE and that depend on the timely collection of detailed data and events by DCAE.
Analytics These will be the most commonapplications that are processing the collected data and deriving interesting metrics or analytics for use by other applications or Operations. These analytics range from very simple ones (from a single source of data) that compute usage, utilization, latency, etc. to very complex ones that detect specific conditions based on data collected from various sources. The analytics could be capacity indicators used to adjust resources or could be performance indicators pointing to anomalous conditions requiring response.
Fault / Event Correlation This is a key applicationthat processes events and thresholds published by managed resources or other applications that detect specific conditions. Based on defined rules, policies, known signatures and other knowledge about the network or service behavior, this application would determine root cause for various conditions and notify interested applications and Operations.
Performance Surveillance & Visualization Thisclass of application provides a window to Operations notifying them of network and service conditions. The notifications could include outages and impacted services or customers based on various dimensions of interest to Operations. They provide visual aids ranging from geographic dashboards to virtual information model browsers to detailed drilldown to specific service or customer impacts.
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