Lakhan, Abdullah and Memon, Muhammad Suleman and Mastoi, Qurat-ul-ain and Elhoseny, Mohamed and Mohammed, Mazin Abed and Qabulio, Mumtaz and Abdel-Basset, Mohamed (2022) Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network. Cluster Computing-The Journal Of Networks Software Tools And Applications, 25 (3). pp. 2061-2083. ISSN ISSN 1386-7857, DOI https://doi.org/10.1007/s10586-021-03333-0.
Full text not available from this repository.Abstract
These days, the usage of the internet of Vehicle Things (IVoT) applications such as E-Business, E-Train, E-Ambulance has been growing progressively. These applications require mobility-aware delay-sensitive services to execute their tasks. With this motivation, the study has the following contribution. Initially, the study devises a novel cooperative vehicular fog cloud network (VFCN) based on container microservices which offers cost-efficient and mobility-aware services with rich resources for processing. This study devises the cost-efficient task offloading and scheduling (CEMOTS) algorithm framework, which consists of the mobility aware task offloading phase (MTOP) method, which determines the optimal offloading time to minimize the communication cost of applications. Furthermore, CEMOTS offers Cooperative Task Offloading Scheduling (CTOS), including task sequencing and scheduling. The goal is to reduce the application costs of communication cost and computational costs under a given deadline constraint. Performance evaluation shows the CTOS and MTOP outperform existing task offloading and scheduling methods in the VCFN in terms of costs and the deadline for IoT applications.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Task offloading; Internet of things; Task scheduling; VFCN; Mobility; Task latency; System costs |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 07 Oct 2023 03:59 |
| Last Modified: | 07 Oct 2023 03:59 |
| URI: | http://eprints.um.edu.my/id/eprint/42449 |
Actions (login required)
 |
View Item |
