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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. 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 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.
Analytic Applications
he The 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
thecollected data and deriving interesting metrics or analytics for use by other applications
or Operations. These analytics applications range from very simple ones (from a single source of data) that compute usage, utilization, latency,
etc.and similar metrics 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 Correlationevent correlation: This is a key
applicationthatapplication type that 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, an application of this
applicationkind would determine root cause for various conditions and notify other interested applications
and Operations.
Performance
Surveillance & Visualizationsurveillance and visualization: Thisclass of application provides a window to
Operationsan operations organization 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.
Capacity planning:
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This class of application providesplanners and engineers the ability to adjust forecasts based on observed demands as well as plan specific capacity augments at various levels, e.g., NFVI level (technical plant, racks, clusters, etc.), Network level (bandwidth, circuits, etc.), Service or Customer levels.
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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
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: The applications listed here are by no means exhaustive and the open architecture of DCAE
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lends itself to integration of additional application capabilities over time
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.