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Using Constraint Reasoning on Feature Models to Populate Ecosystem-driven Cloud Services e- Marketplace

Ezenwoke, Azubuike and Daramola, Olawande and Adigun , M. O. (2017) Using Constraint Reasoning on Feature Models to Populate Ecosystem-driven Cloud Services e- Marketplace. Technical Report. Covenant University. (Unpublished)

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Abstract

Service providers leverage cloud ecosystems and cloud e-marketplaces to increase the business value of their services and reach a wider range of service users. A cloud ecosystem enable participating services to combine with other services, along their QoS properties; while the e-marketplace provides an environment where atomic services interconnect in unprecedented ways to be traded on the marketplace platform. Noting the unprofitability, impracticality and error-prone nature of performing ad hoc service combination of atomic services, the concern addressed in this technical report is how to guide the combination of atomic services participating in an ecosystem in a seamless manner. In this technical report, we proposed the use of feature models to model the inter-relationships and constraints among the atomic services, which is transformed into a constraint satisfaction problem and off-the-shelve constraint solvers are used to determining valid combinations. The collection of valid combinations become the blueprint that guides service composition and populates the e-marketplace service directory; users can then make service selection decisions based on the list. The applicability of the approach proposed in this report is demonstrated via an example of Customer relationship management as a service ecosystem.

Item Type: Monograph (Technical Report)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr Adewole Adewumi
Date Deposited: 22 Jan 2017 16:38
Last Modified: 15 May 2017 13:41
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/7624

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