MEC-based Stable Topology Prediction for Vehicular Networks
MEC-based Stable Topology Prediction for Vehicular Networks
Use Case Details:
Attributes | Description | Informational |
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Type | New | The use case is proposed under the ICN BP family |
Industry sector | Area: SDN & NFV | We focus on the problems related to networking and software technology for a better connection. The technology that allows to build IT infrastructure, and aims to grow into a ‘Software Defined Infrastructure’ company. |
Business driver | The stable vehicular network is essential to enable various applications such as autonomous driving through VANETs. Proposed MEC architecture tends to enable a promising infrastructure where a stable network topology can be predicted locally to improve the network performance by providing intensive calculation for vehicles in the adjacent roads. Thus, converging the two concepts of MEC and topology prediction can provide a strong use case for the vehicular networks such as proactive path stabilization. | The MEC-based Efficient Routing Algorithm can provide a stable path by using the predicted future position for the nearby vehicles. The information can also be made available to the adjacent road resulting from being useful to provide a stable topology on the road tracks. |
Business use case |
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Business cost - Initial build | Minimal configuration is three servers in total:
| Price factor depends on the cost of RSU quality, and should be only considered for physical deployment. i.e. wireless or wired. |
Business cost - Operational | Virtual environment does not require cost. |
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Operational need | Using the frontend GUI to:
Manage the edge applications |
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Additional details |
| PPT is attached as proposal statement. |
Species Details:
Attributes | Description | Informational |
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Type | Integrated Cloud Native NFV/App stack (ICN) |
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Blueprint Family | Existing |
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Use case | Stable network topology in IoV |
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Blueprint proposed name | MEC-based Stable Topology Prediction for Vehicular Networks |
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Initial POD cost | Satellite POD |
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Scale & Type | System will be developed/deployed in VMs. |
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Applications |
| Open Air Interface (OAI) provided LTE network services will be used. |
Infrastructure orchestration |
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SDN | ONOS will be used at the application layer |
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Workload type | VMs and Containers |
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Additional |
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Committers and PTL (Project Technical Lead)
Please enter in all names of the committers for the project.
PTL is done off of self nomination process. If you wish to be considered for the PTL, please indicate that by putting a Y in the self nomination column (use the slide to move the table left to right). Per Akraino rules, if there is only one nominee, that person becomes PTL (when confirmed by the Akraino TSC). If there is more than nominee, we will then have an election.
The election process is open and will go through 7 Oct. 2020 at Noon Pacific time.
Committer | Committer Company | Committer Contact Info | Time Zone | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) | ||||
@Asif Mehmood | Gachon University | Asia/Seoul (UTC+9) |
| Y
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@Faisal Mehmood | Gachon University |
| Asia/Seoul (UTC+9) |
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| from: Nov 20, 2023 to: Present | ||||
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