Research on Tenant Placement Based on Business Relations
Multi-tenancy supporting becomes a basic characteristic of Software-as-a-Service (SaaS) operation. In multi-tenancy environment, tenant placement problem is critical for balance the database server workload. In this paper, we discuss how the cross-tenant data access affects the workload and how to optimize resource utilization in tenant placement process. This paper comes up with a SaaS tenant data lifecycle framework to capture the placement determinant factors. According to the framework, a formal placement algorithm is presented based on a formal model of tenant data and a resource estimation method. As a result of the formalization, several suggestions for data center host to minimize the workload of database servers are presented.
Software-as-a-Service multi-tenancy tenant placement cross-tenant data access resource estimation
Kai Tang Zhong Bo Jiang Wei Sun Xin Zhang Wei Shan Dong
IBM Research China Beijing, China
国际会议
2010 IEEE International Conference on e-Business Engineering(2010年电子商务工程国际研讨会 ICEBE 2010)
上海
英文
479-483
2010-11-10(万方平台首次上网日期,不代表论文的发表时间)