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Traditional node importance assessment only considers topologies, subjective and objective assignment methods have limitations. In order to integrate multiple assessment indicators accurately and effectively, the service-oriented node importance indicator system was established and the subjective and objective comprehensive weighting method based on particle swarm and an approximate ideal solution sorting algorithm based on cosine distance and grey correlation were proposed. The results show that removing or repairing the important nodes evaluated by the method has a greater impact on the network performance compared with traditional methods. The node importance assessment algorithm is more accurate than traditional algorithms. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Northeastern University (Natural Science) is the property of Dongbei Daxue Xuebao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To optimize the performance, utilization and balance of physical servers in the process of virtual machine placement, an improved placement algorithm based on reinforcement learning is proposed. Firstly, the single reward in reinforcement learning algorithm is replaced by multi-dimensional rewards composed of dynamic objectives, and then the multi-dimensional reward values corresponding to each placement scheme are output by the predictor. The input of the predictor is the resource pool status, optimization target, and target proportion. Finally, the proportions of different optimization objectives are adjusted according to the resource pool status to optimize the targets. The results of CloudsimPy show that the improved algorithm can deploy more virtual machine requests with the higher placement success rate and lower delay consumption under the same resource. [ABSTRACT FROM AUTHOR]

It is easy for signal transmission based on satellite communication to be received illegally through wireless channels, leading to information leakage. Therefore, we propose a non, binary RC-LDPC(rate compatible low density parity check) encoding method for satellite channel based on the existing physical layer security research, and apply the method to the AMC system. The algorithm uses channel state information to secrete the private information in the deleted position. By narrowing the gap of safety, the proposed method elevates the drop rate of error curve of the legal receiver to ensure information security. The algorithm was simulated and analyzed based on NI USRP and LabVIEW. The simulation results show that the proposed algorithm can guarantee the receiver to receive correctly and the bit error rate of eavesdropper up to about 0-, 5, ensuring the safe transmission of information. [ABSTRACT FROM AUTHOR]

This paper establishes an intelligent big data storage system IHDFS, based on the existing open source distributed file storage system HDFS. The system proposes and implements big data de-duplication module, big data placement module, big data intelligent migration module, and big data encoding module, which improves the efficiency of user visits and saves the storage space of the cluster. Experimental results show that the data de-duplication module can save the storage space. The data placement module provides a reasonable distribution of file upload storage layer, which twice the uploading speed; the data intelligent migration module improves the hit rate of files on the upper storage layer, which improves the efficiency of obtaining data; the data encoding module saves the storage space of the cluster about one third of the original. [ABSTRACT FROM AUTHOR]

For the low earth orbit satellite communication, in view of the characteristics of low altitude, fast speed and frequent switching, single channel allocation strategy cannot improve the experience of more users and the utilization of channel resources under a low traffic scene. The adaptive channel reservation strategy based on differential evolution algorithm for high traffic conditions is proposed, which dynamically adjusts the number of channel reservation to ensure the timely access of high priority users. For low traffic, the non-reserved channel allocation scheme is put forward to meet the ideal bandwidth requirements of high priority users and to make full use of the channel resources of the system. In addition, to further improve the user experience, taking into account the comprehensive priority, the enhanced queuing strategy allows users that are unable to access to join the waiting queue temporarily when all the cell channels are occupied.Experiments show that the scheme can effectively improve the utilization rate of system resources and guarantee the quality of service of high priority and user experience, and make the whole system service quality better. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Northeastern University (Natural Science) is the property of Dongbei Daxue Xuebao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)