Abstract
In vehicular edge clouds, tasks from vehicles are processed nearby edge nodes (ENs) and thus low latency services can be provided. However, under high vehicular mobility, frequent service migration between two ENs and increased handover latency can be observed. In this paper, we introduce a trajectory-aware edge node clustering (TENC) scheme in which multiple ENs form a cluster depending on the trajectory of a target vehicle. To attain the optimal performance, we formulate an optimization problem by means of a constrained Markov decision process (CMDP). Evaluation results demonstrate that the obtained optimal policy can minimize service delay significantly.
Original language | English |
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Title of host publication | 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538655535 |
DOIs | |
Publication status | Published - 2019 Feb 25 |
Event | 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 - Las Vegas, United States Duration: 2019 Jan 11 → 2019 Jan 14 |
Publication series
Name | 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 |
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Conference
Conference | 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 |
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Country/Territory | United States |
City | Las Vegas |
Period | 19/1/11 → 19/1/14 |
Bibliographical note
Funding Information:VI. ACKNOWLEDGEMENT This work was supported by IITP grant funded by the Korea government (MSIP) (No. 2015-0-00575) and NRF of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742).
Publisher Copyright:
© 2019 IEEE.
Keywords
- Clustering
- Constraint Markov decision Process (CMDP)
- VM migration
- Vehicular edge cloud
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications