Fault-tolerant control for vehicular edge computing

• Grant number: 21/13780-0
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: March 01, 2022
• End date: February 28, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Leandro Aparecido Villas
• Grantee: Joahannes Bruno Dias da Costa
• Supervisor: Christoph Sommer
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: Technische Universität Dresden (TU Dresden), Germany
• Associated to the scholarship: 18/16703-4 - Vehicular cloud computing for information management in intelligent transportation systems, BP.DR

Abstract

Vehicular Edge Computing (VEC) is a promising paradigm that provides cloud computing services closer to vehicular users. A VEC scenario has two main processes, namely Vehicular Cloud (VC) Formation and Task Scheduling. The first process concerns the grouping and management of computational resources present in vehicles and communication infrastructures (such as 5G Base Stations). The second process concerns using these resources grouped, i.e., the tasks scheduling to be processed in the computing infrastructure created in the VEC. However, due to the known problems of Vehicular Ad-hoc Networks (VANETs) and the restricted requirements of the tasks, carrying out the two processes mentioned is not a trivial task. In this context, there is a need to propose fault-tolerant control schemes to mitigate failures in the VC formation process and the task scheduling process. In this way, this work aims to develop a generic fault-tolerant control scheme that can tackle the problems found during the study and make VEC processes more reliable and resilient. We intend our proposed approach to ensure the expected performance and achieve the state-of-the-art through simulations and analysis. (AU)

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LOBATO, WELLINGTON; DA COSTA, JOAHANNES B. D.; DE SOUZA, ALLAN M.; ROSARIO, DENIS; SOMMER, CHRISTOPH; VILLAS, LEANDRO A.; IEEE. FLEXE: Investigating Federated Learning in Connected Autonomous Vehicle Simulations. 2022 IEEE 96TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-FALL), v. N/A, p. 5-pg., 2022-01-01. (19/19105-3, 15/24494-8, 21/13780-0, 18/16703-4)

DA COSTA, JOAHANNES B. D.; DE SOUZA, ALLAN M.; ROSARIO, DENIS; SOMMER, CHRISTOPH; VILLAS, LEANDRO A.; IEEE. Efficient Pareto Optimality-based Task Scheduling for Vehicular Edge Computing. 2022 IEEE 96TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-FALL), v. N/A, p. 6-pg., 2022-01-01. (21/13780-0, 18/16703-4, 15/24494-8)

DA COSTA, JOAHANNES B. D.; LOBATO, WELLINGTON; DE SOUZA, ALLAN M.; CERQUEIRA, EDUARDO; ROSARIO, DENIS; SOMMER, CHRISTOPH; VILLAS, LEANDRO A.. Mobility-aware Vehicular Cloud formation mechanism for Vehicular Edge Computing environments. Ad Hoc Networks, v. 151, p. 13-pg., 2023-09-26. (18/16703-4, 21/13780-0, 19/19105-3)

DA COSTA, JOAHANNES B. D.; DE SOUZA, ALLAN M.; MENEGUETTE, RODOLFO I.; CERQUEIRA, EDUARDO; ROSARIO, DENIS; SOMMER, CHRISTOPH; VILLAS, LEANDRO. Mobility and Deadline-Aware Task Scheduling Mechanism for Vehicular Edge Computing. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v. N/A, p. 15-pg., 2023-05-31. (20/07162-0, 15/24494-8, 18/16703-4, 21/13780-0)