SSL transmission delay optimization in multi-core processor based on network path delay prediction

Zheng-Zhi Tang, Xuewen Zeng, Jun Chen, Xiaozhou Ye
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Abstract

The secure sockets layer (SSL) protocol as a means of protecting the security of data transmission has been widely used. In this paper, to reduce the impact of poor network transmission on the overall delay of SSL transmission in an unstable network environment, a novel SSL transmission delay optimization algorithm based on network path delay prediction is introduced. We propose a locally weighted linear regression prediction algorithm based on sliding window and singular spectrum analysis to better adapt to the characteristics of network time-delay sequence. In an unstable network transmission environment, when the predicted TCP transmission delay fluctuates beyond a certain threshold, the optimization algorithm will calculate a new parallel degree of SSL data encryption and compression to make sure of an optimized overall delay of SSL transmission. But, in a stable network transmission environment, the TCP transmission delay slightly fluctuates and the parallel process takes no effect. It is significant, especially for a heavy-duty server, that it can dynamically and reasonably use the multi-core resources. The final SSL transmission experiment verifies the effectiveness of the proposed optimization algorithm.
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基于网络路径延迟预测的多核处理器SSL传输延迟优化
安全套接字层(SSL)协议作为一种保护数据传输安全的手段得到了广泛的应用。为了在不稳定的网络环境下减少网络传输不良对SSL传输整体延迟的影响,本文提出了一种基于网络路径延迟预测的SSL传输延迟优化算法。为了更好地适应网络时延序列的特点,提出了一种基于滑动窗和奇异谱分析的局部加权线性回归预测算法。在不稳定的网络传输环境下,当预测的TCP传输延迟波动超过一定阈值时,优化算法将计算新的SSL数据加密和压缩并行度,以确保优化SSL传输的整体延迟。但是,在稳定的网络传输环境下,TCP的传输延迟会有轻微波动,并行处理不起作用。能够动态、合理地使用多核资源是非常重要的,特别是对于高负荷的服务器。最后的SSL传输实验验证了所提优化算法的有效性。
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