A Novel QoS provisioning Scheme for OBS networks

This paper presents Classified Cloning, a novel QoS provisioning mechanism for OBS networks carrying real-time applications (such as video on demand, Voice over IP, online gaming and Grid computing). It provides such applications with a minimum loss rate while minimizing end-to-end delay and jitter. ns-2 has been used as the simulation tool, with new OBS modules having been developed for performance evaluation purposes. Ingress node performance has been investigated, as well as the overall performance of the suggested scheme. The results obtained showed that new scheme has superior performance to classical cloning. In particular, QoS provisioning offers a guaranteed burst loss rate, delay and expected value of jitter, unlike existing proposals for QoS implementation in OBS which use the burst offset time to provide such differentiation. Indeed, classical schemes increase both end-to-end delay and jitter. It is shown that the burst loss rate is reduced by 50% reduced over classical cloning

Classified cloning for QoS provisioning in OBS networks

This paper introduces a novel cloning scheme for QoS provisioning in OBS networks. Results produced by the NS-2 simulator show 50% loss reduction in higher priority traffic when compared to the classical cloning scheme

A novel scheme for video streaming over OBS networks

A novel OBS ingress node which offers improved quality of video streaming over an OBS network is introduced in this paper. The suggested scheme is called the Enhanced Classified Cloning Scheme (ECCS) - it improves video traffic quality without affecting other traffic, such as Best Effort (BE) traffic. The new technique was evaluated through extensive ns-2 simulations, including development of new modules for the purpose of evaluation. Burst aggregation was based on a size threshold, with LAUC-VF for data channel scheduling and LAUC for control channel scheduling. Simulation results show the effectiveness of the new scheme when carrying out video streaming over OBS networks. The average gain in video quality was 6 DB under medium and high network loads (the worst case scenario evaluated here) while a greater gain in PSNR value was realized in other scenarios with both 10% and 30% video traffic. The resulting packet end-to-end delay and jitter values were acceptable, with an ETE delay of up to 17ms, and mean jitter less than 0.3 ms, when the network load was more than 20% The increase in network load with the new technique was comparatively small (a maximum of 12% in the worst-case scenario and with a video sequence that has the most "A" packets). A comparison of the load increase shows the outperformance of the suggested scheme especially when there is a high proportion of video traffic

Service differentiation for video applications over OBS networks

A QoS enforcement scheme for video traffic over OBS networks is proposed. The suggested scheme (Classified Cloning for Video applications) was implemented and evaluated by extensive ns-2 simulations, involving development of new modules for performance evaluation. Video application performance over OBS networks was evaluated with different aggregation techniques/parameters. The new technique was compared with classical cloning, and showed superior loss rate (PSNR value), ETE packet delay and jitter. The increasing emergence of real-time applications (video streaming, online gaming, video conference etc) was considered, so two scenarios were evaluated with video traffic composing either 10 or 30 of the total. Simulations show up to 77 or 69 improvement respectively in packet loss rate over classical cloning for low loads, while the improvements becomes 51 or 42 for medium or high loads

Adaptive classified cloning and aggregation technique for delay and loss sensitive applications in OBS networks

An adaptive classified cloning and aggregation technique is introduced for deployment with Optical Burst Switching. Simulations show up to 74% reduction in loss rate over conventional cloning for applications with specific delay and loss requirements