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The DCAE subsystem consists of multiple components: Common Collection Framework, Data Movement, Edge and Central Lake, Analytic Framework, and Analytic Applications.
Common Collection Framework
The collection layer provides the various data collectors necessary to collect the instrumentation that is made available in the cloud infrastructure. Included are both physical and virtual elements. For example, collection of the following types of data is supported:
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The collection layer supports both real-time streaming and batch collection.
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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.
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While there may be detailed data retained at the DCAE edge layer for detailed analysis and trouble-shooting, applications should optimize the use of bandwidth and storage resources by propagating only the required data (for example, reduced, transformed, or aggregated) to the core data lake for other analyses.
Analytic Framework
Analytics and related applications run in the Analytic Framework of DCAE. The Analytic Framework enables agile development of analytic applications. This framework supports creation of applications that process data from multiple streams and sources. Applications can be real-time – for example, analytics, anomaly detection, capacity monitoring, congestion monitoring, or alarm correlation – or non-real time, such as applications that perform analytics on previously collected data or forward synthesized, aggregated or transformed data to big data stores and other applications. The framework can process both real-time streams of data and data collected through traditional batch methods. Analytic applications are managed by the DCAE controller.
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Testing and troubleshooting: This class ofapplication provides operations the tools to test & trouble-shoot specific conditions. They could range from simple health checks for testing purposes, to complex service emulations orchestrated for troubleshooting purposes. In both cases, DCAE provides the ability to collect the results of health checks and tests that are conducted. These checks and tests could be done on an ongoing basis, scheduled or conducted on demand.
Security: Some components of AIC may expose newtargets for security threats. Orchestration and control, decoupled hardware and software, and commodity hardware may be more susceptible to attack than proprietary hardware. However, SDN and virtual networks also offer an opportunity for collecting a rich set of data for security analytics applications to detect anomalies that signal a security threat, such as DDoS attack, and automatically trigger mitigating action.
Other: The applications listed here are by no means exhaustive and the open architecture of DCAE lends itself to integration of additional application capabilities over time.
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