This is a decommissioned version of ERA which is running to enable completion of migration processes. All new collections and items and all edits to existing items should go to our new ERA instance at https://ualberta.scholaris.ca - Please contact us at erahelp@ualberta.ca for assistance!
- 132 views
- 213 downloads
Design and Implementation of QoS Aware Software Defined Cognitive Network
-
- Author(s) / Creator(s)
-
The growth of internet traffic, which is an indication of increased dependency of users on internet for service, business and Internet of things, brings challenges of cost, scale, control and management. Software Defined Networking with Network Function Virtualization (SDN/NFV) provides a cost effective solution to network management as opposed to the use of classical, monolithic network elements. Software Defined Cognitive Network (SDCoN) is a self-aware network design model that adapts to the changing network environment and present proactive solution to network challenges. To provide a proactive solution, the Software Defined Network controller is modeled with an intelligence abstraction layer. Machine learning and external deep learning libraries are used to analyze network statistics. The intelligence plane of the intelligence abstraction layer houses the services and application for data analytics and deep learning. (As cited in abstract.)
-
- Date created
- 2017-03-26
-
- Type of Item
- Report