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Architecting Software as a Service for Data Centric Cloud Applications

Architecting Software as a Service for Data Centric Cloud Applications

Amit Kr Mandal, Suvamoy Changder, Anirban Sarkar, Narayan C. Debnath
Copyright: © 2014 |Volume: 6 |Issue: 1 |Pages: 16
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781466654433|DOI: 10.4018/ijghpc.2014010105
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MLA

Mandal, Amit Kr, et al. "Architecting Software as a Service for Data Centric Cloud Applications." IJGHPC vol.6, no.1 2014: pp.77-92. https://doi.org/10.4018/ijghpc.2014010105

APA

Mandal, A. K., Changder, S., Sarkar, A., & Debnath, N. C. (2014). Architecting Software as a Service for Data Centric Cloud Applications. International Journal of Grid and High Performance Computing (IJGHPC), 6(1), 77-92. https://doi.org/10.4018/ijghpc.2014010105

Chicago

Mandal, Amit Kr, et al. "Architecting Software as a Service for Data Centric Cloud Applications," International Journal of Grid and High Performance Computing (IJGHPC) 6, no.1: 77-92. https://doi.org/10.4018/ijghpc.2014010105

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Abstract

Software as a service (SaaS) is a new software development and deployment paradigm over the cloud. It offers Information Technology services dynamically as “on-demand” basis. The related application data are stored in the data centers managed by the Cloud Service Providers. Many enterprises are facing a major research challenge due to the unavailability of generic cloud architecture for designing, developing and deploying of cloud services. In this paper a flexible architecture for SaaS has been proposed, specifically for data centric cloud applications which may have access to heterogeneous types of databases. The architecture is composed of several layers, which are interacting with each other through the dynamically selected access points of the corresponding layers interfaces. The paper also enlisted the crucial features for SaaS architectural model. Moreover, a detailed comparative study has been done among the proposed SaaS architectural framework and other existing similar proposals based on the listed features.

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