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A Real-time Data Compression for Massive Data Transmission Over High Delay-bandwidth Network

机译:用于高延迟带宽网络上的海量数据传输的实时数据压缩

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摘要

Packet dropout and retransmission have become a more and more serious problem in high delay-bandwidth network, it is difficult for traditional streaming compression to deal with reorder packets, people have to use stateless compression, but it can only achieve very low compression ratio. In this study, we introduce a novel Orderless Tolerance Compression Algorithm (OTCA). The algorithm works effectively with orderless packets which is caused by the packet retransmission, through allowing variable delay in the dictionary construction. OTCA performs better compression ratio than stateless compression and low decoding latency than that of streaming compression and excels delay-dictionary compression in both compression ratio and decoding latency especially in high bandwidth network. We conduct extensive experiments to establish the potential improvement for packet compression techniques, using many data files including the Calgary corpus and the Canterbury corpus. Experimental results of the OTCA show that it is a good compromise proposal for transfer massive data over high delay-bandwidth networks.
机译:分组丢失和重传已经成为高延迟带宽网络中越来越严重的问题,传统的流压缩难以处理重排序的分组,人们不得不使用无状态压缩,但是只能实现非常低的压缩率。在这项研究中,我们介绍了一种新颖的无序公差压缩算法(OTCA)。通过允许字典构造中的可变延迟,该算法可有效处理因分组重传而导致的无序分组。 OTCA比无状态压缩具有更好的压缩率,并且比流压缩具有更低的解码等待时间,并且在压缩率和解码等待时间方面都优于延迟字典压缩,尤其是在高带宽网络中。我们使用包括卡尔加里语料库和坎特伯雷语料库在内的许多数据文件,进行了广泛的实验,以建立数据包压缩技术的潜在改进。 OTCA的实验结果表明,对于通过高延迟带宽网络传输海量数据,这是一个很好的折衷方案。

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