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Managing Trade-off Between Subscription Load and Latency in Vehicular Edge Platform
Author(s) -
Takumu Takada,
Ryohei Banno
Publication year - 2022
Publication title -
eai endorsed transactions on internet of things
Language(s) - English
Resource type - Journals
ISSN - 2414-1399
DOI - 10.4108/eetiot.v8i28.708
Subject(s) - server , latency (audio) , enhanced data rates for gsm evolution , computer science , edge computing , computer network , publication , load balancing (electrical power) , distributed computing , telecommunications , business , advertising , geometry , mathematics , grid
Adding connectivity to vehicles is attracting much attention toward developing smarter vehicles such as autonomous cars. To obtain and utilize real-time information from vehicles, techniques that combine the concept of edge computing and publish/subscribe messaging model have been proposed. However, there is an issue that the increase in the number of edge servers imposes a heavy load upon a subscriber for managing connections to them. To address this issue, we propose an edge-based platform with the functionality of adjusting the number of connections to edge servers. Experimental results clarify the trade-off characteristic between subscription load and latency.

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