The paper proposes a methodology for predicting packet flow at the data plane in smart SDN based on intelligent controller of spike neural networks(SNN). This is applied to predict subsequent step flow, consequently reducing overcrowding that might happen. centralized acts as reactive managing clustering head process Software Defined Network layer proposed model. simulation results show capabil...

Various tools are available in market to measure packet loss in the end-to-end networks. But all the existing tools are not able to calculate packet loss in the network accurately. So measuring packet loss efficiently is still an open problem in the networks due to relatively occurrence and short duration of packet loss. The aim of our research is to understand how to efficiently calculate pack...

In this talk, we propose the average renewal cycle (ARC) model to estimate packet loss probability for on-oo traac sources in a statistically mul-tiplexed rst-in-rst-out (SMF) switch. SMF is a widely adopted architecture for switches, routers, and many other types of communications devices. In ARC, a worst case scenario on the cell loss process is derived for aggregated traac states, so that we...

Streaming services over the Internet are expected to grow rapidly in the near future. However, bursty packet losses caused by buffer overflow at routers are a serious problem in these services, and are responsible for degradation of the Quality of Service (QoS). Active Queue Management (AQM) that discards the packets at routers is effective for avoiding the buffer overflow but results in the de...

When packet loss rate exceeds a given threshold, received audio and video become unintelligible. A congested router transmitting multimedia packets, while inflicting a packet loss rate beyond a given threshold, effectively transmits useless packets. Useless packet transmission wastes router bandwidth when it is needed most. We propose an algorithm to avoid transmission of useless multimedia pac...

Srinath R. Joshi. Packet Loss Recovery for Unicast Interactive Video Transmission over the Internet. (Under the direction of Professor Injong Rhee.) The current Internet is not reliable; packet loss rates are frequently high, and varying over time. Transmitting high-quality interactive video over the Internet is challenging because the quality of compressed video is very susceptible to packet l...

When packet loss rate exceeds a given threshold, received audio and video become unintelligible. A congested router transmitting multimedia packets, while inflicting a packet loss rate beyond a given threshold, effectively transmits useless packets. Useless packet transmission wastes router bandwidth when it is needed most. We propose an algorithm to avoid transmission of useless multimedia pac...

In this paper, we propose a cross-layer design which combines Packet Forward Error Correction (P-FEC) at the application layer with a Symbol unequal FEC in the MAC layer (S-FEC). The aim is to minimize the Packet Loss Rate (PLR) and maximize the visual quality of video transmitted over a wireless network (WN). The proposed scheme is based on a FEC compatible with the semantics of the H.264/AVC ...

Traditional feedback congestion control is not suitable for high-speed networks due to their high bandwidth-to-delay ratio. In this paper, we investigate the possibility of locally controlling short-term congestion for loss-tolerant, but delay-sensitive traac such as packet voice through selective discarding of packets based on the virtual work found by a packet on arrival to a queue (local dea...

Haptic systems are increasingly being used in various applications such as virtual training, remote presence, and telesurgery. Human perception characteristics play a major role in the design of perceptual compression methods for haptic systems. However, the performance of these methods is jeopardized when packet loss occurs in the network. This study presents a packet loss resilient perceptual...