Data Source and A-DAS configurations can come is many shapes and sizes, from the individual Data Silo enabled as a Service to complex collection of disparate data sources, spread across systems and networks. One particular extreme is a configuration often…
Data Source and A-DAS configurations can come is many shapes and sizes, from the individual Data Silo enabled as a Service to complex collection of disparate data sources, spread across systems and networks. One particular extreme is a configuration often found in device monitoring scenarios such as Smart Grid deployments. Smart Grid is the next generation electrical power initiative designed to radically alter the efficiency and control of electricity generation. The goal of Smart Grid is to enable micro-generation from personal and corporate wind and solar farms as well as detailed monitoring and micro-charging for usage in the home and in public charging applications such as Electric Car Charge Points.
A Smart Grid deployment may consists of many hundreds or thousands of data sources, which although similar in function may be heterogeneous in construction and vendor and therefore incompatible. In this scenario A-DAS is able to abstract away the complexity of interfacing with the individual devices that make up the Grid by adapting the underlying data source to a uniform Data Service.
A-DAS can be used to address individual devices in the Grid, arbitrary groups of devices or even perform a Radar Sweep of the entire Grid. The results can be grouped, aggregated and combined to provide simple and transparent Data Services for use in applications and by Users eliminating the need for dealing with the complex technical nature of the underlying device protocols and data models.
A similar scenario exists in the Data Centre where IT Service Management (ITSM) best practice requires that the performance, utilisation and availability of heterogeneous IT systems are monitored to provide a real-time holistic view of the Data Centre’s health as well as the health of the Business Services enabled by groups of underlying IT systems. Like the Smart Grid scenario the data sources are many and varied and yet the high-level ITSM view requires a uniform view and the ability to group and aggregate low level data into meaningful and actionable information.
Our view of our Panasonic A-DAS Service Monitoring Anaeko provided