FM4SN: A feature-oriented approach to tenant-driven customization of multi-tenant service networks
Kumara,I. Han,J. Colman,A. Van Den Heuvel,W.-J. Tamburri,D.
Kumara,I.
Han,J.
Colman,A.
Van Den Heuvel,W.-J.
Tamburri,D.
Abstract
In a multi-tenant service network, multiple virtual service networks (VSNs), one for each tenant, coexist on the same service network. The tenants themselves need to be able to dynamically create and customize their own VSNs to support their initial and changing functional and performance requirements. These tasks are problematic for them due to: 1) platform-specific knowledge required, 2) the existence of a large number of customization options and their dependencies, and 3) the complexity in deriving the right subset of options. In this paper, we present an approach to enable and simplify the tenant-driven customization of multi-tenant service networks. We propose to use feature as a high-level customization abstraction. A regulated collaboration among a set of services in the service network realizes a feature. A software engineer can design a customization policy for a service network using the mappings between features and collaborations, and enact the policy with the controller of the service network. A tenant can then specify the requirements for its VSN as a set of functional and performance features. A customization request from a tenant triggers the customization policy of the service network, which (re) configures the corresponding VSN at runtime to realize the selected features. We show the feasibility of our approach with two case studies and a performance evaluation.
Description
Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Research Projects
Organizational Units
Journal Issue
Keywords
service network, customization, feature, multi tenancy, SaaS, software defined
Citation
Kumara, I, Han, J, Colman, A, Van Den Heuvel, W-J & Tamburri, D 2019, FM4SN: A feature-oriented approach to tenant-driven customization of multi-tenant service networks. in Proceedings of the IEEE International Conference on Services Computing (SCC 2019) - Part of the 2019 IEEE World Congress on Services. IEEE, Milan, pp. 108-115. https://doi.org/10.1109/SCC.2019.00028