Zheng-Zhi Tang, Xuewen Zeng, Jun Chen, Xiaozhou Ye
{"title":"SSL transmission delay optimization in multi-core processor based on network path delay prediction","authors":"Zheng-Zhi Tang, Xuewen Zeng, Jun Chen, Xiaozhou Ye","doi":"10.1109/ICCT.2017.8359787","DOIUrl":null,"url":null,"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.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2017.8359787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.