Age of information (AoI) is an important metric used to quantify the freshness of data. By utilizing resources of the edge server near the source nodes, mobile edge computing (MEC) can speed up the processing of infor...
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Due to the ever-increasing scale and complexity of cyber-physical networks for smart cities, efficient network analytics and trust maintenance are indispensable for the Internet of Things (IoT). Complex networks have ...
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The Function-as-a-Service (FaaS) paradigm is increasingly adopted for the development of Cloud-native applications, which especially benefit from the seamless scalability and attractive pricing models of serverless de...
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With the rapid growth in the number of mobile devices, more and more data is created and requested by users. By caching the data to the edge server, users can obtain the content they request in a closer place, which r...
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In this study, we propose a distributed architecture that dynamically updates the model for classifying tweet streams generated in real time. Our architecture ingests data streams through Apache Kafka and classifies t...
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ISBN:
(纸本)9781665421973
In this study, we propose a distributed architecture that dynamically updates the model for classifying tweet streams generated in real time. Our architecture ingests data streams through Apache Kafka and classifies them based on Apache Spark Streaming. In order to dynamically reflect input stream changes into the classification model, we design the classification model that can be dynamically updated by updating the tokenizer and classifier for new tweet streams. The proposed architecture can provide effective classification for data streams due to the dynamic update and can efficiently process through parallel processing of distributed environments. Through experiments using cyberattack-related tweets, we show that our classification model gradually improves the classification accuracy from 0.8869 when the initial 50,000 tweets are used to 0.9094 when 200,000 tweets are accumulated by F1-score.
Due to the heterogeneity of workloads and the randomness and complexity of hybrid scheduling environment, How to address the challenge of minimizing data center running cost while ensuring workloads SLA has emerged as...
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With the flourishing development of the Internet of Things (IoT) era, Edge computing (EC) technology has garnered significant attention along with advancements in communication and IoT technologies. Effectively harnes...
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Cellular Automata (CA) models, initially studied by John von Neumann, have been developed by numerous researchers and applied in both academic and scientific fields. Thanks to their local and independent rules, simula...
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Recent advances in Visual Language Models (VLMs) have significantly enhanced video analytics. VLMs capture complex visual and textual connections. While Convolutional Neural Networks (CNNs) excel in spatial pattern re...
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In recent years, low-orbit satellite constellation technology has developed rapidly. Constellations consisting of hundreds of LEO satellites can achieve global coverage of signals and thus fast transmission of data be...
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