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Task offloading in mmWave based 5G vehicular cloud computing

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Abstract

Vehicular cloud computing (VCC) is a promising paradigm for efficiently utilizing and sharing computing and storage resources on vehicles. However, the network topology and the available computing resources change rapidly due to vehicular mobility. In this paper, we study the task offloading problem in the vehicular cloud (VC), in which computing missions that are exclusively divided into interdependent tasks can be offloaded from the edge cloud and executed on vehicles in the VC to minimize the overall response time. A mobility-aware model based on vehicles’ stay time is adopted by considering the instability of computing resources caused by the high vehicular mobility. We formulate an NP-hard optimization problem for task offloading that considers the heterogeneity of vehicular computing capabilities and the interdependency of computing tasks. For this, a Mobility-Aware Vehicular Cloud task Offloading (MAVCO) scheme is designed for low complexity that provides the optimal solution. We also consider the fifth-generation new-radio vehicle-to-everything communication model, i.e., cellular link and millimeter wave, to augment the system performance. The simulation findings demonstrate that the proposed algorithm can efficiently minimize the tasks’ response time while releasing the edge cloud burden by comparing it with benchmark approaches.

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Authors and Affiliations

  1. National Textile University, Faisalabad, Pakistan

    Salman Raza, Haseeb Ahmad & Muhammad Asif Habib

  2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Salman Raza

  3. College of Computer Science and Technology, Qingdao University, Qingdao, 266071, China

    Manzoor Ahmed

  4. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Muhammad Ayzed Mirza

  5. Beiyou Shenzhen Research Institute, Shenzhen, China

    Shangguang Wang

Authors
  1. Salman Raza
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  2. Manzoor Ahmed
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  3. Haseeb Ahmad
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  4. Muhammad Ayzed Mirza
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  5. Muhammad Asif Habib
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  6. Shangguang Wang
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Correspondence to Muhammad Asif Habib.

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Raza, S., Ahmed, M., Ahmad, H. et al. Task offloading in mmWave based 5G vehicular cloud computing. J Ambient Intell Human Comput 14, 12595–12607 (2023). https://doi.org/10.1007/s12652-022-04320-y

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  • DOI: https://doi.org/10.1007/s12652-022-04320-y

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