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2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)最新文献

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Capacity Prediction for Wireless Networks Based on Convolutional Neural Network 基于卷积神经网络的无线网络容量预测
2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) Pub Date : 2021-12-03 DOI: 10.1109/ict-dm52643.2021.9664017
P. Hu, Yi Zhong, Yuchen Lai
{"title":"Capacity Prediction for Wireless Networks Based on Convolutional Neural Network","authors":"P. Hu, Yi Zhong, Yuchen Lai","doi":"10.1109/ict-dm52643.2021.9664017","DOIUrl":"https://doi.org/10.1109/ict-dm52643.2021.9664017","url":null,"abstract":"The deployment of a wireless network greatly affects the system capacity, which is difficult to be optimized with massive devices and complicated propagation environment. The machine learning tools, e.g., the convolution neural network (CNN), can extract the implicit features of the network deployment and provide directions for the capacity optimization of wireless networks. In this paper, we generate the artificial data based on a practical wireless network model for datasets acquisition, and propose an efficient approach for the capacity prediction of wireless network based on the CNN. In particular, the deployment of access points in a wireless network is regarded as 2-dimensional matrix, which is the input of the neural network. Then, the CNN is used to handle the matrices and output numeric for the capacity prediction. The impacts of different parameters and architectures of CNN on the predictive accuracy are evaluated. Our results demonstrate the accuracy and robustness of the proposed prediction approach.","PeriodicalId":337000,"journal":{"name":"2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117153837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed Systems Anomaly Detection Based on Log 基于日志的分布式系统异常检测
2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) Pub Date : 2021-12-03 DOI: 10.1109/ict-dm52643.2021.9664097
Fenggang Lai, P. Zhang, R. Cheng, Peng Xu
{"title":"Distributed Systems Anomaly Detection Based on Log","authors":"Fenggang Lai, P. Zhang, R. Cheng, Peng Xu","doi":"10.1109/ict-dm52643.2021.9664097","DOIUrl":"https://doi.org/10.1109/ict-dm52643.2021.9664097","url":null,"abstract":"Benefiting from the rapid development of information technology, distributed systems have been widely used. A distributed system consists of a large number of parts (nodes/components), so its maintenance usually requires plenty of manual work. To reduce the complexity and workload of the operation and maintenance of the complex system, more and more log anomaly detection methods are used for large-scale distributed systems. However, these methods do not consider the time and space characteristics of logs. To bridge this gap, we brought forward an anomaly detection method based on logs generated by distributed systems. We design a template parsing algorithm to parse logs through the Transformer encoder and two clusters of different granularities. We use an anomaly detection algorithm to capture anomalies in time and space through the combination of CNN, LSTM, and attention mechanism. In addition, we optimize the detection window by combining the session window with the sliding window, and we optimize the computational complexity by changing the connection between LSTM and CNN.","PeriodicalId":337000,"journal":{"name":"2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128376568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resource Management for Blockchain-enabled Internet of Vehicles 基于区块链的车联网资源管理
2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) Pub Date : 2021-12-03 DOI: 10.1109/ict-dm52643.2021.9664129
Liming Gao, Chunrong Peng, Qitu Hu, Celimuge Wu, T. Yoshinaga, Wugedele Bao, Siri Guleng
{"title":"Resource Management for Blockchain-enabled Internet of Vehicles","authors":"Liming Gao, Chunrong Peng, Qitu Hu, Celimuge Wu, T. Yoshinaga, Wugedele Bao, Siri Guleng","doi":"10.1109/ict-dm52643.2021.9664129","DOIUrl":"https://doi.org/10.1109/ict-dm52643.2021.9664129","url":null,"abstract":"With the development of advanced information and communication technology, the Internet of Vehicles (IoV) has been designed to associate with implementing the Intelligent Transportation System (ITS). Meanwhile, the traditional centralized architecture of the cloud services no longer meets the increasing demand for data exchange in IoV. Moreover, the traditional centralized architecture for ITS is vulnerable to the single point of failure, and lack of flexibility due to its dependence on a trusted third party (TTP). The emergence of blockchain technology provides a potential direction to address these problems. However, there are still some problems existing in the construction of an efficient blockchain system in IoV. In this paper, we propose a resource management scheme that improves the performance of blockchain systems by efficiently allocating computing resources. A resource control method and a resource monitoring system are developed to cooperate with the system. The superiority of the proposed method is fully demonstrated by comparing it with the existing baseline method.","PeriodicalId":337000,"journal":{"name":"2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126825838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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