Multi-tenant Oriented Elastic Data-Centric Cloud Service Based on Resource Meta-Model

Existing data-centric cloud services are not flexible enough to meet the requirements of different tenants when facing diverse business scenes. Since they focus more on the functional aspects than the data aspects despite the close relevance between business and data, it strongly limits the scalability, customizability and other possible advantages for tenants. In this paper, we propose a cloud service model that integrates functional and data perspectives in one coherent framework. Services are provided based on resource meta-model which is consisted of entity and transitional resource meta-model. Tenants can customize their services by specializing, generalizing, composing the entity resource meta-model or changing the resource, atomic operation or logic in transitional resource meta-model. A case study is proposed in a social network scenario, it turns out that our cloud service model has better scalability, customizability than Restful service and SOAP service.