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  • 标题:An Extended Approach based on Genetic Algorithm for Multi-Tenant Data Management
  • 本地全文:下载
  • 作者:Reyhaneh Kheiri ; Alireza Taghizadeh ; Elaheh Kheiri
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2016
  • 卷号:10
  • 期号:7
  • 页码:61-80
  • DOI:10.14257/ijseia.2016.10.7.07
  • 出版社:SERSC
  • 摘要:In recent years, the applications of cloud computing technology has been increased significantly. Multi-tenant property of cloud computing allows data sharing between clients. The multi-tenant data management system breaks the cost of hardware, software and professional services among a large number of tenants and thus reduces per-tenant cost. A multi-tenant database system should provide high performance with small storage space and excellent scalability. One major challenge is to reach a database scheme with high-quality. In this paper, we offer a compatible ADAPTED database schema based on genetic algorithms, and compare it with similar schema. Simulation results show that the proposed approach (GA-ADAPT) besides considering criteria of quality of service, provides higher performance comparing the previous ones in terms of selection time of the important features and the average response time to the tenants.
  • 关键词:Cloud computing; Multi Tenancy; Data Management
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