Big data-fueled feedback loops leveraging streaming data in SDN/NFV
Software-defined networking (SDN) and network functions virtualization (NFV) hold tremendous potential to enable efficiency and flexibility in service delivery, but SDN/NFV environments are also highly complex and multilayered. Matt Olson explains why effective support for SDN/NFV services requires leveraging the tremendous amount of service and data streaming from the platform.
Talk Title | Big data-fueled feedback loops leveraging streaming data in SDN/NFV |
Speakers | Matt Olson (CenturyLink) |
Conference | Strata + Hadoop World |
Conf Tag | Big Data Expo |
Location | San Jose, California |
Date | March 29-31, 2016 |
URL | Talk Page |
Slides | Talk Slides |
Video | |
Software-defined networking (SDN) and network functions virtualization (NFV) hold tremendous potential to enable efficiency and flexibility in service delivery, but SDN/NFV environments are also highly complex and multilayered. Matt Olson explains why effective support for SDN/NFV services requires leveraging the tremendous amount of service and data streaming from the platform. The ultimate aim is to automate the processing of these data streams for near real-time feedback loops capable of effecting adaptive changes in the platform. However, the operational support for these platforms and the processes of developing these models require an environment in which subject-matter experts are able to access and explore the data in a flexible and controlled manner. Matt describes how CenturyLink is able to support a variety of use cases—ranging from interactive exploration of the data streams to the training and implementation of machine-learning models for the execution of automated feedback loops—through the use of an ecosystem that combines Hadoop, Spark, Hunk, and Splunk Enterprise. Matt explains how the ecosystem: This session is sponsored by Splunk.