Resource Allocation in Mobile Networks: A Decision Model Of Jockeying in Queues
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909205723611136 |
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| author | Kiggundu, Anthony Han, Bin Krummacker, Dennis Schotten, Hans D. |
| author_facet | Kiggundu, Anthony Han, Bin Krummacker, Dennis Schotten, Hans D. |
| contents | Use-case-specific network slicing in decentralized multi-tenancy cloud environments is a promising approach to bridge the gap between the demand and supply of resources in next-generation communication networks. Our findings associate different slice profiles to queues in a multi-server setting, such that tenants continuously assess their preferences and make rational decisions to minimize the queuing delay.
Deviated from classical approaches that statistically model the jockeying phenomena in queuing systems, our work pioneers to setup a behavioral model of jockeying impatient tenants. This will serve as a basis for decentralized management of multi-queue systems, where the decision to jockey is individually made by each tenant upon its up-to-date assessment of expected waiting time.
Additionally, we carry out numerical simulations to empirically unravel the parametric dependencies of the tenants' jockeying behavior. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_11054 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Resource Allocation in Mobile Networks: A Decision Model Of Jockeying in Queues Kiggundu, Anthony Han, Bin Krummacker, Dennis Schotten, Hans D. Networking and Internet Architecture Use-case-specific network slicing in decentralized multi-tenancy cloud environments is a promising approach to bridge the gap between the demand and supply of resources in next-generation communication networks. Our findings associate different slice profiles to queues in a multi-server setting, such that tenants continuously assess their preferences and make rational decisions to minimize the queuing delay. Deviated from classical approaches that statistically model the jockeying phenomena in queuing systems, our work pioneers to setup a behavioral model of jockeying impatient tenants. This will serve as a basis for decentralized management of multi-queue systems, where the decision to jockey is individually made by each tenant upon its up-to-date assessment of expected waiting time. Additionally, we carry out numerical simulations to empirically unravel the parametric dependencies of the tenants' jockeying behavior. |
| title | Resource Allocation in Mobile Networks: A Decision Model Of Jockeying in Queues |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2402.11054 |