| Full text | |
| Author(s): |
da Costa, Joahannes B. D.
;
de Souza, Allan M.
;
Meneguette, Rodolfo I.
;
Cerqueira, Eduardo
;
Rosario, Denis
;
Sommer, Christoph
;
Villas, Leandro
Total Authors: 7
|
| Document type: | Journal article |
| Source: | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS; v. N/A, p. 15-pg., 2023-05-31. |
| Abstract | |
Vehicular Edge Computing (VEC) is a promising paradigm that provides cloud computing services closer to vehicular users. In VEC, vehicles and communication infrastructures can form pools with computational resources to meet vehicular services with low-latency constraints. These resource pools are known as Vehicular Cloud (VC). The usage of VC resources requires a task scheduling process. In this case, depending on its complexity, a vehicular service can be divided into different tasks. An efficient task scheduling needs to orchestrate where and for how long such tasks will run, considering the available pools, the mobility of nodes, and the tasks deadline constraints. Thus, this article proposes an efficient VC task scheduler based on an approximation heuristic and resources prediction to select the best VC for each task, called MARINA. MARINA aims to analyze the behavior of vehicles that share their computational resources with the VC and make scheduling decisions based on the mobility (VC availability) of these vehicles. Simulation results under a realistic scenario demonstrate the efficiency of MARINA compared to existing state-of-the-art mechanisms in terms of the number of tasks scheduled, monetary cost, system latency, and Central Processing Unit (CPU) utilization. (AU) | |
| FAPESP's process: | 20/07162-0 - Services for an intelligent transport system |
| Grantee: | Rodolfo Ipolito Meneguette |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 15/24494-8 - Communications and processing of big data in cloud and fog computing |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 18/16703-4 - Vehicular cloud computing for information management in intelligent transportation systems |
| Grantee: | Joahannes Bruno Dias da Costa |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 21/13780-0 - Fault-tolerant control for vehicular edge computing |
| Grantee: | Joahannes Bruno Dias da Costa |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |