• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Hierarchical Resource Management Framework and Multi-hop Task Scheduling Decision for Resource-Constrained VEC Networks


Abstract

In urban vehicular edge computing (VEC) environments, one edge server always serves many task requests in its coverage which results in the resource-constrained problem. To resolve the problem and improve system utilization, we first design a general hierarchical resource management framework based on typical VEC network structures. Following the framework, a specific interacting protocol is also designed for our decision algorithm. Secondly, a greedy bidding-based multi-hop task scheduling decision algorithm is proposed to realize effective task scheduling in resource-constrained VEC environments. In this algorithm, the goal of maximizing system utility is modeled as an optimization problem with the constraints of task deadlines and available computing resources. Then, an auction mechanism named greedy bidding is used to match task requests to edge servers in the case of multiple hops to maximize the system utility. Simulation results show that our proposal can maximize the number of tasks served in resource constrained VEC networks and improve the system utility.


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Cite this article

[IEEE Style]
X. Hu, Y. Zhao, Y. Huang, C. Zhu, J. Yao, N. Fang, "Hierarchical Resource Management Framework and Multi-hop Task Scheduling Decision for Resource-Constrained VEC Networks," KSII Transactions on Internet and Information Systems, vol. 16, no. 11, pp. 3638-3657, 2022. DOI: 10.3837/tiis.2022.11.010.

[ACM Style]
Xi Hu, Yicheng Zhao, Yang Huang, Chen Zhu, Jun Yao, and Nana Fang. 2022. Hierarchical Resource Management Framework and Multi-hop Task Scheduling Decision for Resource-Constrained VEC Networks. KSII Transactions on Internet and Information Systems, 16, 11, (2022), 3638-3657. DOI: 10.3837/tiis.2022.11.010.

[BibTeX Style]
@article{tiis:38004, title="Hierarchical Resource Management Framework and Multi-hop Task Scheduling Decision for Resource-Constrained VEC Networks", author="Xi Hu and Yicheng Zhao and Yang Huang and Chen Zhu and Jun Yao and Nana Fang and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2022.11.010}, volume={16}, number={11}, year="2022", month={November}, pages={3638-3657}}