文章基本信息

标题：LST: Load Sharing Tool For Big Data
本地全文：下载
作者：K.Radhika ; V.Vinothini ; R.Usha 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：2
页码：437-440
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In a large scale data processing corporate network the information shared among the wide database server which facilitates common collaboration over big data. Integration of cloud computing along with data base in peer-to-peer technologies loads of data can be stored efficiently and in a descriptive manner which is very easy to access. The ultimate aim is not only to manage scalable data and sharing but to reduce operational costs, increase revenue. For sharing and storing data in big data platform of hadoop we introduce technique to track less used storage area in the Db engine. In our proposed model the Least Used Db Server (LUDS) will be tracked along with the storing data in racks of Db engine. The database storage will be classified into different racks in each system nodes. Thus by using this protocol Load Sharing Tool (LST) we can handle efficient storage in DB engine. Moreover the Db sub server can manage data mining effectively. LST effectively uses the Map Join Reduce technique which not only shares space for storage but also looks for loads in Db Server.
关键词：LUDS: Least Used Db Server; LST: Load ; Sharing Tool; Map Join Reduce