https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31874 Wed 18 Apr 2018 15:20:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31884 Wed 11 Apr 2018 14:35:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31819 Wed 11 Apr 2018 12:38:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31810 ad hoc cognitive packet network (AHCPN)-based protocol to adaptively search optimal communication routes between portable devices and the network egress nodes that provide access to cloud servers, in a manner that spares the remaining battery power of smart phones and minimizes the time latency. Experimental results through detailed simulations indicate that smart human motion and smart network management can increase the survival rate of evacuees and reduce the number of drained smart phones in an evacuation process]]> Wed 11 Apr 2018 12:28:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31821 Wed 11 Apr 2018 11:22:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31813 Wed 11 Apr 2018 11:15:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31882 signaling attacks and storms, that represent a type of distributed denial of service (DDoS) attacks, which overload the signaling plane of the networks, and threat networks’ stability. This paper proposes a detection mechanism for such attacks. A cost function is defined using the low bandwidth usage characteristic and is calculated in a exponential weighted moving average manner to enable real-time detection of attack intervals. The detector is implemented in a simulation environment in a ₃G UMTS network and evaluated using metrics of interest such as: detection delay and probability of false positive and false negative detections. Finally, a simple attack mitigation technique is used together with the detector in a network under attack and manages to reduce the signaling load and end-to-end delay to the level of an unattacked network.]]> Tue 27 Mar 2018 14:03:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31877 Energy Packet Network is discussed as a means to provide energy on demand to Cloud Computing servers. This approach can be useful in the presence of renewable energy sources, and if scarce sources of energy must be shared by multiple computational units whose peak to average power consumption ratio is high. Such a system will use energy storage units to best match and smooth the intermittent supply and the intermittent demand. The analysis of such systems based on queueing networks is suggested and applied to a special case for illustration.]]> Tue 27 Mar 2018 13:51:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31876 Tue 27 Mar 2018 13:48:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31873 Tue 27 Mar 2018 13:42:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31872 Tue 27 Mar 2018 11:56:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31904 Thu 29 Mar 2018 17:31:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31901 Thu 29 Mar 2018 17:27:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31855 Sat 24 Mar 2018 08:43:15 AEDT ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31881 Sat 24 Mar 2018 08:43:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31880 Sat 24 Mar 2018 08:43:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31883 Sat 24 Mar 2018 08:43:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31888 Sat 24 Mar 2018 08:43:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31887 Sat 24 Mar 2018 08:43:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31886 Sat 24 Mar 2018 08:43:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31879 Sat 24 Mar 2018 08:43:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31885 Sat 24 Mar 2018 08:43:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31817 Sat 24 Mar 2018 08:43:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31820 6 measurements per week, and makes scalable distributed routing decisions. Experimental results show that this approach improves QoS significantly and efficiently.]]> Sat 24 Mar 2018 08:43:05 AEDT ]]>