Recent years have seen the rise of big data workflow management solutions as widespread data analytic platforms for handling massive amounts of data in the cloud. However, keeping information private and ensuring the ...
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The widespread use of social media platforms, especially among adolescents, necessitates a comprehensive understanding of how online interactions shape individuals' characteristics. Focusing specifically on inform...
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In the age of big data, opportunities exist to harness the vast amounts of data generated by humans. One effective method of data collection is through quiz applications. These applications can gather information from...
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Innovative grid technology leverages information and Communication technology (ICT) to enhance energy efficiency and mitigate losses. This paper introduces a 'novel three-tier hierarchical framework for smart home...
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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...
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Global healthcare systems are going through substantial changes in access, data processing, monitoring, and healthcare. By 2020, it's anticipated that connected and data-capturing equipment will have produced arou...
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Our brains can readily identify what a picture is about when we view it, but doing it for a machine was thought to be impossible. However, employing computer vision’s visual recognition characteristics is now achieva...
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The Traffic Analysis System utilizes machine learning for real-time traffic insights at a junction. It provides instant stats like vehicle count, density, and FPS, while summarizing average vehicle crossings, densitie...
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Cloud computing typically involves transferring users' requests to centralized cloud servers, a process that is inherently fraught with substantial delays due to the unpredictable nature of network transmissions. ...
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ISBN:
(纸本)9798350386066;9798350386059
Cloud computing typically involves transferring users' requests to centralized cloud servers, a process that is inherently fraught with substantial delays due to the unpredictable nature of network transmissions. This inherent latency issue presents considerable challenges to applications that are highly sensitive to delay. We propose leveraging edge collaboration to minimize latency by enabling efficient user request scheduling within geographical proximities. However, cross-regional edge collaboration faces challenges due to the lack of real-time resource knowledge across regions, a problem we have identified as NP-hard. To address this, we introduce a model to connect edge nodes globally, thereby accurately reflecting their resource status. By employing an enhanced Dijkstra algorithm, we optimize the request routing process, achieving a notable reduction in delays compared to baseline methods, thus enhancing performance across various test scenarios.
The concept of Digital Twin has been widely used by researchers to represent physical entities in computer-generated reality in the metaverse. In this research, a novel concept of 'Mobile Twin' is coined. Mobi...
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