Motohiro Shibakawa, Takahiro Uchiya, I. Takumi, Tetsuo Kinoshita
{"title":"Design and implementation of multiagent-based distributed backup system","authors":"Motohiro Shibakawa, Takahiro Uchiya, I. Takumi, Tetsuo Kinoshita","doi":"10.1109/ICIS.2013.6607847","DOIUrl":null,"url":null,"abstract":"Recently, information recorded on paper has been changed rapidly to digital data. Backup systems emphasize prevention of data loss by disasters, mistakes of user operations, and so on. For robust backup, it is necessary that the data be distributed geographically. Using a distributed backup system, the possibility of all data becoming lost will definitely be low. However, several problems with distributed backup systems remain. First, preparing multiple computers is expensive. Second, the computational cost of encryption and redundancy is high. Third, user workloads necessary to manage and maintain the system are great. As described herein, to overcome those problems, we propose a distributed backup system using multiagent technology. The agents can work autonomously depending on the environment.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2013.6607847","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
Recently, information recorded on paper has been changed rapidly to digital data. Backup systems emphasize prevention of data loss by disasters, mistakes of user operations, and so on. For robust backup, it is necessary that the data be distributed geographically. Using a distributed backup system, the possibility of all data becoming lost will definitely be low. However, several problems with distributed backup systems remain. First, preparing multiple computers is expensive. Second, the computational cost of encryption and redundancy is high. Third, user workloads necessary to manage and maintain the system are great. As described herein, to overcome those problems, we propose a distributed backup system using multiagent technology. The agents can work autonomously depending on the environment.