Abstract
Cloud providers make decisions on whom to interact with based on trust between cloud service providers. However, achieving trust has been a major obstacle to a wide cloud federation adoption. It has been observed that trust is largely determined by the provider, but trust can also be influenced by the external environment (such as by institutional trust, cultural trust, or legal framework) as well as by government policies or strategies. As a result of the cloud federation model, participants from different countries can collaborate with each other, sharing resources, transferring data, and exchanging knowledge, which is directly influenced by an organizational trust as well as institutional trust. Transferring data from one jurisdiction to another requires a legal framework and is a sensitive issue. Data protection concerns are not adequately addressed in a similar way in all countries, which negatively impacts trust. In this paper, we discuss trust from the perspective of institutional trust and propose an evaluation mechanism for trust during cloud federation formation. The proposed trust evaluation model utilizes neighbors’ feedback and institutional quality, to evaluate the cloud service provider trust. The evaluation of the model is conducted by utilizing an agent-based approach and the Netlogo simulation tool. The results show that the proposed model generates profit in the three scenarios while the comparative model, which doesn’t consider institutional trust, generates profits in only the two scenarios.
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Acknowledgment
This research was supported by the BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE, Korea). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2022R1A2C1092077).
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Gebrealif, Y., Altmann, J. (2023). Effect of Trust and Institutional Quality on Cloud Federation Formation Using Agent-Based Modeling. In: Bañares, J.Á., Altmann, J., Agmon Ben-Yehuda, O., Djemame, K., Stankovski, V., Tuffin, B. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2022. Lecture Notes in Computer Science, vol 13430. Springer, Cham. https://doi.org/10.1007/978-3-031-29315-3_5
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