The Internet of Things’ (IoT) predicted enormous breadth and extensive organization make it challenging to acknowledge safe and secret communications. Investigations on the application of BC technology for decentrali...
详细信息
Against the backdrop of continuous development of computer technology, the service scope of the network system is constantly expanding, and the service capability is significantly improving to meet the growing materia...
详细信息
In today's world, poverty is a persistent problem that demands creative solutions for thorough research and practical reduction approaches. The paper explores the transformative potential of information and Commun...
详细信息
Hyperspectral Imaging (HSI) is an emerging imaging approach that utilizes a broad spectral range of light to capture distinct statistics approximately a given scene or specimen. Via offers a remarkable degree of stati...
详细信息
In quantum computing, achieving error correction comparable to classical systems is crucial for long-term success. This involves measuring and extracting error syndromes to prevent error propagation. However, the cons...
详细信息
The rapid development of live streaming e-commerce calls for a deeper understanding of the factors influencing consumer *** paper uses web crawling to gather data, combining Latent Dirichlet Allocation (LDA) and word ...
详细信息
With the rapid development of autonomous driving, vehicles have evolved from mere transportation tools to mobile intelligent spaces. This has led to an increasing and diversifying demand for vehicular services on a sa...
详细信息
ISBN:
(纸本)9798350378412
With the rapid development of autonomous driving, vehicles have evolved from mere transportation tools to mobile intelligent spaces. This has led to an increasing and diversifying demand for vehicular services on a safe driving basis. However, limitations on communication and computing resources present obstacles to meeting the latency demands of these services. Vehicular fog computing tackles this issue by decentralizing computational power to the edge, thereby reducing transmission and processing delays. Nevertheless, the varied requirements of services and the mobile feature of vehicles continue to pose formidable challenges to vehicular resource management. In this case, this paper proposes a multi-granularity resource management scheme based on network slicing in vehicular fogs by jointly consider the transportation and resource distributions. Our approach aims to meet the diverse quality of service (QoS) while reducing the operation and slicing reconfiguration costs. At the coarse time granularity, a vehicular fog conformation algorithm based on traffic characteristics is applied to ensure that vehicles share resources within fogs and allocate necessary bandwidth for critical safety services. At the fine time granularity, we dynamically adjust resource allocation to cope with communication channel instability caused by high-speed vehicle motion. Results indicate that the proposed scheme has significant advantages over traditional methods in supporting services with different latency, throughput and computational demands.
The goal of this paper is to assess the Python computing time to solve a single row facility layout problem (SRFLP) by Simulated Annealing. The optimization problem is introduced, systematically modelled and then opti...
详细信息
This study investigates skin lesion classification through feature fusion, focusing on transfer learning-based extraction for improved model discernment. Utilizing VGG16, ResNet, and EfficientNet B0, the research rank...
详细信息
With the rise of edge computing in the computing models of today, resource management efficiency is a key aspect, notably CPU utilization. The purpose of this paper is to investigate autoscaling in edge computing. The...
详细信息
暂无评论