Virtualization engine

DataMiner Service and Resource Management

Virtualization engine

Benefit from technology abstraction during service design

Network Function Virtualization (NFV) is becoming a commodity in modern network and cloud infrastructures. DataMiner Virtual Functions smoothly map those VNF instances (a.k.a. microservices). The ultimate goal of NFV is to fulfill one specific function very well, and just that.

DataMiner SRM has adapted this approach and extended it to traditional software appliances and hardware products. Appliances and hardware products typically combine many elementary “virtual functions” in a single product. For example, a media transcoder has an IP input function, a video transcoder function, a number of audio transcoder functions, and an IP streaming output function. Packaging all functions together in a single product makes it hard for the operators to use bits and pieces of that product according to the needs of the moment, let alone when they need to schedule the resource up front.

With DataMiner Virtual Functions, the elementary functional capabilities of a complex product are exposed as individual, elementary resources that can be monitored, configured, and used in DataMiner SRM very easily. And since different technologies can expose the same kinds of functions (i.e. the same profiles can be applied to them), DataMiner Virtual Functions truly make service workflows independent of the underlying infrastructure vendor or model.

Virtualisation engine