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In this work, a novel data forwarding algorithm based on prediction method and optimization theory is proposed for improving the quality of service (QoS) in real-time applications over the wire network. The proposed prediction method is based on the time-series models of observed trends over all available network paths at each predetermined time. This predictive information is then used as an input...
The major issue related to the realization of multipath network is the design of suitable dynamic adjustment algorithm of traffic allocation. The design challenge is to guarantee the various qualities of service requirements for all traffic, special the loss rate while minimizing the cost function. In this paper a novel traffic allocation algorithm based on time series prediction and PSO (particle...
In the Internet today, multipath routing is proved a popular technique that improves reliability and robustness of data delivery; however, current forwarding algorithm over multipath network have problems such as lacking of preparing for sudden spikes. This paper proposes a new forwarding algorithm, which is based on time series prediction and PSO (particle swarm optimization). We describe how the...
This paper proposes a new load balancing mechanism, called PPLR (prediction packet loss rate), which is based on time series prediction. Load balancing is needed in many fields; however, current approaches have problems such as lacking of preparing for sudden spikes. In this paper, we describe how PPLR dynamically predicts loss levels over all available network paths and adjust the allocation proportion...
Delivery of real time streaming applications, such as voice over IP (VoIP), in packet switched networks is based on dividing the stream into packets and transferring each of the packets on an individual basis to the destination. To study the effect of packet dispersion on the quality of VoIP applications, we focus on the effect of the packet loss rate on the applications, and present a model in which...
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