Abstract
The emergence of fog computing has presented challenges in effectively allocating resources within this environment. Addressing user satisfaction, many of these challenges can be mitigated through the quality of experience paradigm, which incorporates various contextual parameters. To optimize resource utilization, leveraging the quality of context paradigm can significantly enhance system performance. Consequently, this paper introduces a model aimed at dynamically enhancing individual user experiences while concurrently boosting overall system performance within the fog computing environment through quality of context considerations. Experimental results demonstrate tangible enhancements in runtime job execution and noticeable improvements in the overall system performance upon the implementation of our proposed model.
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D’Amato, A., Dantas, M. (2024). Proposal for a Resource Allocation Model Aimed at Fog Computing. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-031-57870-0_34
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DOI: https://doi.org/10.1007/978-3-031-57870-0_34
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