Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network

Abdullah Lakhan, Muhammad Suleman Memon, Qurat ul ain Mastoi, Mohamed Elhoseny, Mazin Abed Mohammed, Mumtaz Qabulio, Mohamed Abdel-Basset

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2061-2083
Number of pages23
JournalCluster Computing
Volume25
Issue number3
DOIs
Publication statusPublished - 20 Jun 2022
Externally publishedYes

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