Currently, Internet applications running on mobile devices generate a massive amount of data that can be transmitted to a Cloud for processing. However, one fundamental limitation of a Cloud is the connectivity with end devices. Fog computing overcomes this limitation and supports the requirements of time-sensitive applications by distributing computation, communication, and storage services along the Cloud to Things (C2T) continuum, empowering potential new applications, such as smart cities, augmented reality (AR), and virtual reality (VR).

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[1] Judy C. Guevara, Ricardo Torres, Nelson Fonseca, "QoS requirements for Fog Computing applications", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/eggh-ze30. Accessed: Feb. 15, 2025.
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url = {http://dx.doi.org/10.21227/eggh-ze30},
author = {Judy C. Guevara; Ricardo Torres; Nelson Fonseca },
publisher = {IEEE Dataport},
title = {QoS requirements for Fog Computing applications},
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AU - Judy C. Guevara; Ricardo Torres; Nelson Fonseca
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Judy C. Guevara, Ricardo Torres, Nelson Fonseca. (2023). QoS requirements for Fog Computing applications. IEEE Dataport. http://dx.doi.org/10.21227/eggh-ze30
Judy C. Guevara, Ricardo Torres, Nelson Fonseca, 2023. QoS requirements for Fog Computing applications. Available at: http://dx.doi.org/10.21227/eggh-ze30.
Judy C. Guevara, Ricardo Torres, Nelson Fonseca. (2023). "QoS requirements for Fog Computing applications." Web.
1. Judy C. Guevara, Ricardo Torres, Nelson Fonseca. QoS requirements for Fog Computing applications [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/eggh-ze30
Judy C. Guevara, Ricardo Torres, Nelson Fonseca. "QoS requirements for Fog Computing applications." doi: 10.21227/eggh-ze30