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Can I read Low Latency and Efficient Packet Scheduling for Streaming Applications on EtoBox?

Low Latency and Efficient Packet Scheduling for Streaming Applications by Eric Hsiao-Kuang Wu; Ming-I Hsieh; Hsu-Te Lai is a Computer Science article available to read on EtoBox.

What is Low Latency and Efficient Packet Scheduling for Streaming Applications about?

Adequate bandwidth allocations and strict delay requirements are required for real time flows, such as streaming audio and video data. Most of commonly known packet scheduling algorithms like Weighted Fair Queueing (WFQ) and Start-Time Fair Queueing (SFQ) were mainly designed to ensure the bandwidth reservation function. They only guarantee the queueing delay under a certain threshold. It may cause unsteady packet latencies and introduces extra handling overheads for streaming applications. A few packet scheduling algorithms were proposed in recent years to address this problem like Low Latency Queueing (LLQ) which may suffer from low priority traffic starvation problem. In this paper, we will show the unsteady queueing delay problem, 'The buffer underrun problem' for most well known packet scheduling algorithms. We propose a novel packet scheduling algorithm with history support, LLEPS, to ensure low latency and efficient packet scheduling for streaming applications via monitoring the behavior of queues and traffics.

Who reads Low Latency and Efficient Packet Scheduling for Streaming Applications?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Eric Hsiao-Kuang Wu; Ming-I Hsieh; Hsu-Te Lai
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0140-3664)
Published
2006
Language
EN
Field
Computer Science (Physical Sciences)

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