DocumentCode
3149206
Title
A Dependency-Aware Hierarchical Service Model for SaaS and Cloud Services
Author
Wang, Rui ; Zhang, Yong ; Liu, Shijun ; Wu, Lei ; Meng, Xiangxu
Author_Institution
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
fYear
2011
fDate
4-9 July 2011
Firstpage
480
Lastpage
487
Abstract
Service-Oriented Computing is known as a new computing paradigm that utilizes existing services as fundamental elements for developing distributed applications based on the so-called "use, not own" manner. In this paper, services are classified into three levels in accordance with different business requirements. Services are assembled by choosing lower-level services or other services at the identical level. Tenant applications are implemented by way of choosing services in composite business level. A hyper graph-based service model is used to represent hierarchical services and multi-tenancy applications. A dependency is a relation between services wherein a change to one of the services implies a potential change to the others. We propose algorithms based on directed hyper graph which can represent dependencies between services and applications to verify the correctness of dependencies during the application construction period and we implement a SCA-based platform for the large-scale multi-tenancy application construction.
Keywords
business data processing; cloud computing; graph theory; service-oriented architecture; SCA-based platform; SaaS; business requirement; cloud services; composite business level; dependency-aware hierarchical service model; distributed application; hypergraph-based service model; multitenancy application; service-oriented computing; Business; Computational modeling; Computer architecture; Correlation; Equations; Service oriented architecture; Software; dependency; hierarchical services; hypergraph; multi-tenancy application;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing (SCC), 2011 IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-1-4577-0863-3
Electronic_ISBN
978-0-7695-4462-5
Type
conf
DOI
10.1109/SCC.2011.17
Filename
6009297
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