https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32493 Tue 10 Sep 2019 13:01:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31854 Cognitive Routing Engine (CRE), based on Random Neural Networks with Reinforcement Learning, was developed to find with minimal monitoring overhead the optimal overlay paths when the public Internet is used as the communication means between the overlay nodes. CRE was evaluated by using an overlay network composed of hosts from 5 different public clouds where it was shown that the latency of CRE paths is most of the time within 5% of the latency of the optimal IP paths. Furthermore, it was also demonstrated that CRE is able to do asymmetric path optimization where the forward path is different from the reverse path for a given data centre pair in order to further improve QoS.]]> Sat 24 Mar 2018 08:43:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31879 Sat 24 Mar 2018 08:43:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31815 Sat 24 Mar 2018 08:42:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39766 Mon 20 Nov 2023 14:40:20 AEDT ]]>