The optimization of job offloading procedures in modern vehicular networks is a problem of utmost importance. In this regard, this paper proposes MANTRA, a distributed framework based on multi-player multi-armed bandi...
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ISBN:
(纸本)9798350399806
The optimization of job offloading procedures in modern vehicular networks is a problem of utmost importance. In this regard, this paper proposes MANTRA, a distributed framework based on multi-player multi-armed bandit (MPMAB) algorithms for latency- and energy-aware job offloading in vehicular networks. The main goal of MANTRA is to support procedures of job offloading in green vehicular networks to achieve a target tradeoff between energy consumption and job processing latency. In particular, MANTRA is intended to run on so-called MEC-in-a-box (M-Box) devices, portable batterypowered Road Side Units (RSUs) specifically designed to work without mobile connectivity and of a fixed power grid. To demonstrate MANTRA effectiveness, we model the vehicular network using the queueing theory for M/M/m/K systems. We run an extensive evaluation campaign and compare MANTRA with several baselines, including a centralized, oracle-based approach. In such a way, we demonstrate how MANTRA outperforms the baselines and quickly converges to the performance of the centralized approach in a fully-distributed way in terms of job processing latency and network outage probability.
This paper introduces a new dataset RWU3D that consists of ToF depth images and the corresponding amplitude images as well as high-resolution Stereo images and the respective ground truth data. The corresponding dispa...
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Recent years, both the domestic and international frontiers made headway in the realm of intelligent navigation for ships, so vision-based ship monitoring systems and smart ships had a great development prospect. Howe...
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Constant complicating of wars due to considerable development of military weapon and moving to new generation of warfare led to a significant change in means of it. More and more armed forces involve AI into solving a...
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In recent years, with the development of deep learning (DL) technology and the continuous improvement of algorithms, DL-Assisted diagnosis systems based on medical images have rapidly developed. Compared with traditio...
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Copyright protection of digital images through watermarking technique is one of the viable approaches for industrial and commercial applications. Sustaining a watermark's robustness during attack and preserving th...
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Most of the current existing style transfer methods are based on photographs or Western paintings. Due to the inherent differences between Chinese and Western paintings, direct application of existing algorithms canno...
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Flower image classification poses a challenge in digital imageprocessing, requiring effective methods for feature extraction and classification. The aim of this research is to improve the accuracy of flower image cla...
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In this era of digitalization, the massive increase in available data leads to great potential for advancing various domains. However, the available data, such as images, videos, and speech signals, generally lie in h...
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Intelligentization of the film and television post-production based on the complex imageprocessing and scene switching algorithms is studied in the paper. At present, the film and television media is in a period of r...
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