| Autor: |
Sangeetha, E., Deny, J. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2821 Issue 1, p1-7, 7p |
| Abstrakt: |
Edge service providers (ESPs) may not satisfy the resources in their application according to the service level agreements. The edge computing effectively solves the problem of resource-constrained of distributed networks and reduces the transmission delay then highly support computing requirement. Therefore, this research designed from 6G enabled an IoT massive service that supports dynamic resource allocation. Different ESPs allows resource sharing framework to optimally exploit their resources and develop the satisfaction level of application that constraints such as communication rate for sharing resources across ESPs. To improve the utilization of edge computing resources to ensure QoS in the business model of a mobile communication system in 6G network ser vices this merges virtual reality and supports real-time interaction. A Collaborative dynamic resource allocation (CDRA) algorithm is proposed based on the network slice technique of 6G-enabled massive IoT. In the sixth generation modified service requirements of multiple tenants, therefore a two-layer hierarchical intelligent management scheme for network slicing is proposed, including the different tenants from the local resource managers at the lower level and the global resource manager at the upper le vel. Based on the real-time process description of end-to-end network slice a service quality evaluation model is recognized by considering the difference of multi-type slice requests from different tenants. The simulation results show that the proposed scheme can optimize the long-term proceeds of resource suppliers while promising service quality. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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