Wei Jiang, Junlong Wang, Jinyu Zhan, Jinghuan Yu, Haibo Hu
{"title":"基于数据桶的固态硬盘存储系统碎片管理","authors":"Wei Jiang, Junlong Wang, Jinyu Zhan, Jinghuan Yu, Haibo Hu","doi":"10.11989/JEST.1674-862X.80113010","DOIUrl":null,"url":null,"abstract":"The current storage mechanism considered little in data’s keeping characteristics. These can produce fragments of various sizes among data sets. In some cases, these fragments may be serious and harm system performance. In this paper, we manage to modify the current storage mechanism. We introduce an extra storage unit called data bucket into the classical data manage architecture. Next, we modify the data manage mechanism to improve our designs. By keeping data according to their visited information, both the number of fragments and the fragment size are greatly reduced. Considering different data features and storage device conditions, we also improve the solid state drive (SSD) lifetime by keeping data into different spaces. Experiments show that our designs have a positive influence on the SSD storage density and actual service time.","PeriodicalId":53467,"journal":{"name":"Journal of Electronic Science and Technology","volume":"18 1","pages":"330-340"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Bucket-Based Fragment Management for Solid State Drive Storage System\",\"authors\":\"Wei Jiang, Junlong Wang, Jinyu Zhan, Jinghuan Yu, Haibo Hu\",\"doi\":\"10.11989/JEST.1674-862X.80113010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current storage mechanism considered little in data’s keeping characteristics. These can produce fragments of various sizes among data sets. In some cases, these fragments may be serious and harm system performance. In this paper, we manage to modify the current storage mechanism. We introduce an extra storage unit called data bucket into the classical data manage architecture. Next, we modify the data manage mechanism to improve our designs. By keeping data according to their visited information, both the number of fragments and the fragment size are greatly reduced. Considering different data features and storage device conditions, we also improve the solid state drive (SSD) lifetime by keeping data into different spaces. Experiments show that our designs have a positive influence on the SSD storage density and actual service time.\",\"PeriodicalId\":53467,\"journal\":{\"name\":\"Journal of Electronic Science and Technology\",\"volume\":\"18 1\",\"pages\":\"330-340\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electronic Science and Technology\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.11989/JEST.1674-862X.80113010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electronic Science and Technology","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.11989/JEST.1674-862X.80113010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
Data Bucket-Based Fragment Management for Solid State Drive Storage System
The current storage mechanism considered little in data’s keeping characteristics. These can produce fragments of various sizes among data sets. In some cases, these fragments may be serious and harm system performance. In this paper, we manage to modify the current storage mechanism. We introduce an extra storage unit called data bucket into the classical data manage architecture. Next, we modify the data manage mechanism to improve our designs. By keeping data according to their visited information, both the number of fragments and the fragment size are greatly reduced. Considering different data features and storage device conditions, we also improve the solid state drive (SSD) lifetime by keeping data into different spaces. Experiments show that our designs have a positive influence on the SSD storage density and actual service time.
期刊介绍:
JEST (International) covers the state-of-the-art achievements in electronic science and technology, including the most highlight areas: ¨ Communication Technology ¨ Computer Science and Information Technology ¨ Information and Network Security ¨ Bioelectronics and Biomedicine ¨ Neural Networks and Intelligent Systems ¨ Electronic Systems and Array Processing ¨ Optoelectronic and Photonic Technologies ¨ Electronic Materials and Devices ¨ Sensing and Measurement ¨ Signal Processing and Image Processing JEST (International) is dedicated to building an open, high-level academic journal supported by researchers, professionals, and academicians. The Journal has been fully indexed by Ei INSPEC and has published, with great honor, the contributions from more than 20 countries and regions in the world.