{"title":"用无损压缩布隆滤波器减少SNMP监控系统的带宽","authors":"Warinda Kiatdherarat, C. Netramai","doi":"10.1109/TICST.2015.7369390","DOIUrl":null,"url":null,"abstract":"This work focuses on the further reduction of the bandwidth usage of the Bloom Filter based SNMP by means of an additional compression scheme. The zip compression technique is used for the zip encryption and the zip decryption of the Bloom Filter. The experiment with compression ratio was done and the results show that the SNMP bandwidth that utilizes the proposed compression scheme is reduced to 10.23% and the compression time is small and negligible and SNMP information still retain its 100% correctness.","PeriodicalId":251893,"journal":{"name":"2015 International Conference on Science and Technology (TICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bandwidth reduction in SNMP monitoring system with bloom filter using lossless compression\",\"authors\":\"Warinda Kiatdherarat, C. Netramai\",\"doi\":\"10.1109/TICST.2015.7369390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work focuses on the further reduction of the bandwidth usage of the Bloom Filter based SNMP by means of an additional compression scheme. The zip compression technique is used for the zip encryption and the zip decryption of the Bloom Filter. The experiment with compression ratio was done and the results show that the SNMP bandwidth that utilizes the proposed compression scheme is reduced to 10.23% and the compression time is small and negligible and SNMP information still retain its 100% correctness.\",\"PeriodicalId\":251893,\"journal\":{\"name\":\"2015 International Conference on Science and Technology (TICST)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Science and Technology (TICST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TICST.2015.7369390\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Science and Technology (TICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TICST.2015.7369390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bandwidth reduction in SNMP monitoring system with bloom filter using lossless compression
This work focuses on the further reduction of the bandwidth usage of the Bloom Filter based SNMP by means of an additional compression scheme. The zip compression technique is used for the zip encryption and the zip decryption of the Bloom Filter. The experiment with compression ratio was done and the results show that the SNMP bandwidth that utilizes the proposed compression scheme is reduced to 10.23% and the compression time is small and negligible and SNMP information still retain its 100% correctness.
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