| dc.description.abstract | Real-time traffic flows, such as streaming audio and video data, can not endure high or unsteady packet latencies. Unfortunately, some well-known scheduling algorithms such as Weighted Fair Queueing (WFQ), Start-Time Fair Queueing (SFQ)...etc. in real networks will be subjected to high and unsteady latencies due to the unsteady queueing delay problem, `the buffer underrun problem’’, that we will explain later in this paper. A few scheduling algorithms address this problem in recent years like Low Latency Queueing (LLQ) which may suffer from low priority traffic starvation problem. The QoS guarantee only satisfies the flow with highest priority. Another one that addresses this problem is Low Latency and Efficient Packet Scheduling algorithm (LLEPS) which requires additional parameter, time slot, support accurately. And how to determine the time slot value exactly to enable LLEPS to work efficaciously is another problem and is not mentioned in LLEPS. Even if we use accurate time slot value, the queueing delay of LLEPS is not stable enough when packets come in burst in the real networks.
Therefore, in this paper, we propose a packet scheduling algorithm, Credit-Based Low Latency Packet Scheduling (CBLLPS), using adaptive credit function to ensure low latency for streaming applications. Some simulation results are also presented. | en_US |