Title : 
An End-to-End Methodology and Toolkit for Fine Granularity SaaS-ization
         
        
            Author : 
Cai, Hong ; Zhang, Ke ; Zhou, MingJun ; Gong, Wei ; Cai, JunJie ; Mao, Xinsheng
         
        
            Author_Institution : 
Dev. Lab., IBM China, Beijing, China
         
        
        
        
        
        
            Abstract : 
Software as a service (SaaS) is an important technology innovation as well as a business model innovation to bring new opportunities to small and medium enterprises (SME). There are different SaaS provisioning methods, depending on the customer profile, the cost of the required resources, and the price that customers are willing to pay. The core technology of SaaS-ization focuses on multi-tenancy, which means supporting multiple customers over the SaaS platform at the same time. In this paper, we describe an end-to-end methodology, together with a toolkit that supports the fine granularity multi-tenancy mechanism. This means using one single application instance to support multiple tenants, an approach that could save the cloud infrastructure resources required to support high volumes of customers. Further, the methodology could lower the entry level of SaaS operators, as well as the user subscription fees.
         
        
            Keywords : 
Internet; customer profiles; small-to-medium enterprises; cloud computing; cloud infrastructure resources; customer profile; end-to-end methodology; fine granularity SaaS-ization; fine granularity multitenancy mechanism; small and medium enterprises; software as a service; user subscription fees; Cloud computing;
         
        
        
        
            Conference_Titel : 
Cloud Computing, 2009. CLOUD '09. IEEE International Conference on
         
        
            Conference_Location : 
Bangalore
         
        
            Print_ISBN : 
978-1-4244-5199-9
         
        
            Electronic_ISBN : 
978-0-7695-3840-2
         
        
        
            DOI : 
10.1109/CLOUD.2009.63