TY - GEN
T1 - SoS Paradigm Benefits SaaS Integration
T2 - 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2019
AU - Mathlouthi, Wided
AU - Labba, Chahrazed
AU - Gaaloul, Walid
AU - Bellamine Ben Saoud, Narjes
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - To fulfill its complex business demands, an organization may require the integration of many SaaS applications. A main challenge in this regard is to select the suitable SaaS offerings that satisfy all the business requirements. Due to the diversity of QoS needs and the large number of SaaS providers, selecting the suitable set of SaaS applications to be integrated may result in QoS degradation and higher costs. In this paper, we propose to use a System-of-Systems (SoS)-based approach for the selection and integration of SaaS. We believe that the use of SoS and its dynamic properties could improve the service selection at SaaS level. To do so, we propose three Mixed Integer Programming models that optimize the global SaaS behavior by minimizing the overall delivery costs, and maximizing the global functional and QoS utilities. The implementation of the approach and the experimental results highlight the efficiency of our proposed solution.
AB - To fulfill its complex business demands, an organization may require the integration of many SaaS applications. A main challenge in this regard is to select the suitable SaaS offerings that satisfy all the business requirements. Due to the diversity of QoS needs and the large number of SaaS providers, selecting the suitable set of SaaS applications to be integrated may result in QoS degradation and higher costs. In this paper, we propose to use a System-of-Systems (SoS)-based approach for the selection and integration of SaaS. We believe that the use of SoS and its dynamic properties could improve the service selection at SaaS level. To do so, we propose three Mixed Integer Programming models that optimize the global SaaS behavior by minimizing the overall delivery costs, and maximizing the global functional and QoS utilities. The implementation of the approach and the experimental results highlight the efficiency of our proposed solution.
KW - Cloud Computing
KW - Quality of Service (QoS)
KW - Software-as-a-Service (SaaS)
KW - System-of-Systems (SoS)
KW - optimization
UR - https://www.scopus.com/pages/publications/85071695383
U2 - 10.1109/WETICE.2019.00045
DO - 10.1109/WETICE.2019.00045
M3 - Conference contribution
AN - SCOPUS:85071695383
T3 - Proceedings - 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2019
SP - 174
EP - 179
BT - Proceedings - 2019 IEEE 28th International Conference on Enabling Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 June 2019 through 14 June 2019
ER -