The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform
Wei-je Jiang - One of the best experts on this subject based on the ideXlab platform.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
Chao-tung Yang - One of the best experts on this subject based on the ideXlab platform.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
Ching-han Lai - One of the best experts on this subject based on the ideXlab platform.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
Endah Kristiani - One of the best experts on this subject based on the ideXlab platform.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
Yuan-ting Wang - One of the best experts on this subject based on the ideXlab platform.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
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On construction of a network Log Management system using ELK Stack with Ceph
The Journal of Supercomputing, 2019Co-Authors: Chao-tung Yang, Ching-han Lai, Endah Kristiani, Yuan-ting Wang, Geyong Min, Wei-je JiangAbstract:A Log Management system is essential for the networks administrator. With a Log Management Tool, we can collect, store, analyze, archive, and finally dispose of the Log information. In this paper, we propose the architecture model of a Log Management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi Log and NetFlow Log. First, we collect and store data of our Wi-Fi Log using Filebeats Tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi Log data. Second, we collect and store our NetFlow Log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow Log data. Third, we integrate the Wi-Fi Log and NetFlow Log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism.
