{"title":"Migration from HPC-Based Data Processing Systems to Cloud-Computing Based Data Mining Systems","authors":"Jun Ni, Ying Chen, Jie Sha, Minghuan Zhang","doi":"10.1109/ICICSE.2015.40","DOIUrl":null,"url":null,"abstract":"This paper reflects of experimental efforts in system structure design with brief review and considerations various system characteristics. The study reports our progress of how to migrate a system with either OLTP or OLAP and their simply combination, through HPC-oriented data processing system to HPC-enhanced, cloud-configured system for big data processing and data mining. The system is also equipped with IBM supported big data technology. The experimental system provides an insight into small-middle scaled system structure and implementations for research and/or teaching-purposed system platform for higher education.","PeriodicalId":159836,"journal":{"name":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2015.40","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
This paper reflects of experimental efforts in system structure design with brief review and considerations various system characteristics. The study reports our progress of how to migrate a system with either OLTP or OLAP and their simply combination, through HPC-oriented data processing system to HPC-enhanced, cloud-configured system for big data processing and data mining. The system is also equipped with IBM supported big data technology. The experimental system provides an insight into small-middle scaled system structure and implementations for research and/or teaching-purposed system platform for higher education.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
