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

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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.

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Data availability

Data Availability Statements: IoVT Applications in Container-Based Fog Cloud Network used the for the manuscript mobility real-dataset of the one organization which is available on the following link.: User Movement Simulations Project. Available. [Online]: http://everywarelab.di.unimi.it/lbs-datasim [60]. The rest of the data such as inputs and algorithm is private data and available on local machines which can not be shared publically for now.

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Funding

This study was not funded.

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Authors and Affiliations

  1. College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China

    Abdullah Lakhan

  2. Department of Information Technology, Dadu Campus, University of Sindh, Jamshoro, Sindh, Pakistan

    Muhammad Suleman Memon

  3. Faculty of Computer Science and Information Technology, University of Malay a, 50603, Kuala Lumpur, Malaysia

    Qurat-ul-ain Mastoi

  4. Department of Computer Science, College of Computer Information Technology, American University in the Emirates, 503000, Dubai International Academic City, UAE

    Mohamed Elhoseny

  5. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny

  6. College of Computer Science and Information Technology, University of Anbar, Ramadi, 31001, Iraq

    Mazin Abed Mohammed

  7. Department of Software Engineering, Faculty of Engineering, University of Sindh, Jamshoro, Pakistan

    Mumtaz Qabulio

  8. Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt

    Mohamed Abdel-Basset

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  1. Abdullah Lakhan
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All authors contributed equally to the final dissemination of the research investigation as a full article. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Mazin Abed Mohammed.

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Lakhan, A., Memon, M.S., Mastoi, Qua. et al. Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network. Cluster Comput 25, 2061–2083 (2022). https://doi.org/10.1007/s10586-021-03333-0

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