Research Summary: Enhancing Localization, Selection, and Processing of Data in Vehicular Cyber-Physical Systems
Paper i proceeding, 2024

Increasing amounts of data are sensed at the edge of the Edge-to-Cloud (E2C) continuum, enabling the rapid development of data-driven applications based on, e.g., Machine Learning. This is especially true for Vehicular Cyber-Physical Systems (VCPSs), networks of connected vehicles equipped with high-bandwidth sensors, where Big Data originating on the vehicles is crucial for the advancement of autonomous drive, developing new cars, and more. Limited bandwidth and storage mean that moving this vehicular Big Data from the edge to central processing increasingly poses challenges. In this work, we present our research on how to alleviate these through efficiently localizing data on the edge, selecting relevant data in a data stream, and distributing the processing of data in a VCPS.

Cyber-Physical Systems

Vehicular Networks

Stream Processing

Författare

Bastian Havers

Nätverk och System

Marina Papatriantafilou

Nätverk och System

Vincenzo Massimiliano Gulisano

Nätverk och System

Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems

979-8-4007-0670-7 (ISSN)

91-95
979-8-4007-0670-7 (ISBN)

ApPLIED'24: Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems
Nantes, Metropolitan France,

AutoSPADA (Automotive Stream Processing and Distributed Analytics) OODIDA Phase 2

VINNOVA (2019-05884), 2020-03-12 -- 2022-12-31.

Ämneskategorier

Datavetenskap (datalogi)

Datorsystem

DOI

10.1145/3663338.3663680

Mer information

Skapat

2024-06-24