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It provides fast and effective reliability information for faster recovery from failures.The topology-aware analysis also enables us to explore the economic impact and the cost of various types of network failures with regards to Capital Expenditure (Cap Ex) and Operational Expenditure (Op Ex).
I_MMS manages the selection of a routing mechanism to maintain a stable performance by the network.
As our modern life is very much dependent on the Internet, measurement and management of network reliability is critical.
MANET is modelled with the support of Artificial Intelligent (AI) techniques to help in a better understanding of the network performance under different context scenarios, the use of various packet types, and operating with different routing protocols.
Thus the main addition made by this research is the use of different techniques to model our mobile Ad Hoc networks in terms of their behaviour that can be utilised for prediction purposes.
We ﬁnd it challenging because it not only requires vast measuring and processing resources but also introduces an additional intermediate network, so-called a ’control-path network’, that physically connects the control and data plane networks.
We proposed a topology-aware network management framework that utilizes Link Layer Discovery Protocol (LLDP) messages via prudent control of the frequency of LLDP messages and considering tier-based network architecture.
A Silicon Valley veteran, she has held senior marketing and IT roles at startups and larger enterprises, including Netscape, Pelican Imaging, and Rambus. Prior to joining Forward, Denis held senior executive roles at Illumio, Ruckus Wireless, Omneon and QLogic. As a member of the Stanford team that pioneered SDN/Open Flow, his research focused on using SDN principles for systematic network troubleshooting (Net Sight), flexible network emulation (Mininet), and smart load-balancing (Aster*x). His dissertation showed novel ways to troubleshoot and verify the correctness of networks.
Previously, he created and taught SDN Academy courses, worked at Google and Ericsson, and was part of the team at Stanford that developed Open Flow and SDN.
Up to date, there is no routing protocol that can maintain its performance at high level under all possible context conditions.
In this thesis, the introduction of a management system utilizing artificial intelligence and optimisation techniques to be responsible for predicting MANET routing protocol performance behaviour and selecting the best suited one to adapted to the changes in the network conditions to solve the network performance degradation problem.