| Autor: |
Sriram, V. P., Singh, Gurkirpal, Choubey, Shruti Bhargava, Salve, Archana Ravindra, Turukmane, Anil V., Anand, D. |
| Předmět: |
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| Zdroj: |
Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p14891-14896, 6p |
| Abstrakt: |
A fundamental challenge in the Internet of Things (IoT) landscape is the optimal allocation of resources, which is characterized by its dynamic and diverse components. Fog computing is the principal Internet of Things methodology that is utilized in this investigation. It offers a framework for resource allocation that is determined by the content of the experience. With latency serving as the major performance parameter, the fundamental goal of the system is to optimize the real-time distribution of computing resources in order to achieve the Quality of Experience (QoE) standards. This is the primary objective of the system. The fog computing paradigm helps to improve the user experience by bringing decentralized computation closer to the network periphery. This helps to minimize latency and increase overall performance. Simulations have demonstrated that the suggested strategy is capable of achieving an optimal equilibrium between user happiness and resource accessibility within the setting of a limited Internet of Things environment. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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