Seamless Service Migration Framework for Autonomous Driving in Mobile Edge Cloud
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Live service migration with low service downtime is one of the main challenges in mobile edge cloud (MEC). In other words, it is important to guarantee that users continue to receive good service even if they cross through multiple MEC servers. In this paper, we propose a seamless service migration framework and apply it to an autonomous driving demonstration. We expect this paper to provide a perspective on how MEC can be used for practical autonomous driving in the near future.
Details
Original language | English |
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Title of host publication | 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (electronic) | 9781728138930 |
Publication status | Published - Jan 2020 |
Peer-reviewed | Yes |
Publication series
Series | IEEE Consumer Communications and Networking Conference |
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ISSN | 2331-9852 |
Conference
Title | 17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 |
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Duration | 10 - 13 January 2020 |
City | Las Vegas |
Country | United States of America |
External IDs
ORCID | /0000-0001-7008-1537/work/158767468 |
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ORCID | /0000-0001-8469-9573/work/161891204 |