{"title":"利用LZ77算法在Tensilica的Xtensa处理器上实现鲁棒压缩技术","authors":"D. Vasanthi, R. Anusha, B. Vinay","doi":"10.1109/ICIT.2016.041","DOIUrl":null,"url":null,"abstract":"SSD Technology is used to read/write data to the external device with high speed and low power. A lossless LZ77 data compression technique is used here in order to retain the information content by removing data redundancy and also employs a text window in congestion with look-ahead buffer to serve as a dictionary. In the proposed technique the unmatched string present in the dictionary are encoded as a length and offset. Encoding and decoding process in data compression enables SSD's, so that the data written is less in turn yields the endurance of SSD performance. Eventually using novel method, pointers are effectively selected and encoded for the longest matched string to obtain greater compression. For the unmatched character compression ratio is 3.12times which is better than existing algorithm. Data compression improves the performance of SSD, hence this reduces the amount of data transfer to flash memory. The speed of secure data compression increases with a creation of preferred search function for a HEX sample data size 32Kbyte. Even though if extra time is acquired, asymmetric compression decompresses the data quickly resulting in good compression.","PeriodicalId":220153,"journal":{"name":"2016 International Conference on Information Technology (ICIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementation of Robust Compression Technique Using LZ77 Algorithm on Tensilica's Xtensa Processor\",\"authors\":\"D. Vasanthi, R. Anusha, B. Vinay\",\"doi\":\"10.1109/ICIT.2016.041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SSD Technology is used to read/write data to the external device with high speed and low power. A lossless LZ77 data compression technique is used here in order to retain the information content by removing data redundancy and also employs a text window in congestion with look-ahead buffer to serve as a dictionary. In the proposed technique the unmatched string present in the dictionary are encoded as a length and offset. Encoding and decoding process in data compression enables SSD's, so that the data written is less in turn yields the endurance of SSD performance. Eventually using novel method, pointers are effectively selected and encoded for the longest matched string to obtain greater compression. For the unmatched character compression ratio is 3.12times which is better than existing algorithm. Data compression improves the performance of SSD, hence this reduces the amount of data transfer to flash memory. The speed of secure data compression increases with a creation of preferred search function for a HEX sample data size 32Kbyte. Even though if extra time is acquired, asymmetric compression decompresses the data quickly resulting in good compression.\",\"PeriodicalId\":220153,\"journal\":{\"name\":\"2016 International Conference on Information Technology (ICIT)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Information Technology (ICIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2016.041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Information Technology (ICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2016.041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of Robust Compression Technique Using LZ77 Algorithm on Tensilica's Xtensa Processor
SSD Technology is used to read/write data to the external device with high speed and low power. A lossless LZ77 data compression technique is used here in order to retain the information content by removing data redundancy and also employs a text window in congestion with look-ahead buffer to serve as a dictionary. In the proposed technique the unmatched string present in the dictionary are encoded as a length and offset. Encoding and decoding process in data compression enables SSD's, so that the data written is less in turn yields the endurance of SSD performance. Eventually using novel method, pointers are effectively selected and encoded for the longest matched string to obtain greater compression. For the unmatched character compression ratio is 3.12times which is better than existing algorithm. Data compression improves the performance of SSD, hence this reduces the amount of data transfer to flash memory. The speed of secure data compression increases with a creation of preferred search function for a HEX sample data size 32Kbyte. Even though if extra time is acquired, asymmetric compression decompresses the data quickly resulting in good compression.