Title :
Suitable Database Development Framework for Business Component Migration in SaaS Multi-tenant Model
Author :
Xuequan Zhou ; Dechen Zhan ; Lanshun Nie ; Fanchao Meng ; Xiaofei Xu
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol. at Weihai, Weihai, China
Abstract :
Software as a service (SaaS) is attracting increasing attention and leading business to migrate the existing traditional web application onto cloud. With the transition from traditional software to SaaS, the most important thing in the technical architecture is characterized by single-tenant model to multi-tenant model, and multi-tenant model is essentially faced with the challenge between tenant-unrelated of the business component and the global access of the data. This paper analyzes the migration method for business component and the essential problems that the business component migration faced with. In order to solve the problems, we introduce memory database as the implementation mechanism of distinguishing table instances for multi-tenant data isolation, a Data Relationship Engine to realize the relationship between the business components and multi-tenant database, and present a multi-tenant database development framework for business component migration in SaaS. An experiment has been conducted to validate the usability and correctness of our migration method and database development framework.
Keywords :
business data processing; cloud computing; data handling; database management systems; SaaS multitenant model; SaaS single-tenant model; Web application; business component migration; data relationship engine; memory database; multitenant data isolation; multitenant database development framework; software-as-a-service; Business; Computational modeling; Data models; Distributed databases; Software as a service; business component migration; data isolation; multi-tenant database development framework; tenant-unrelated;
Conference_Titel :
Service Sciences (ICSS), 2013 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4673-6258-0
DOI :
10.1109/ICSS.2013.53