一种业务关联的数据采集方法

doi:10.3969/j.issn.1001-2400.2013.02.010

Abstract

Abstract:

Based on the analysis of current popular data sampling methods, this paper proposes a service-related data sampling methodology in the field of service data sampling. Firstly, this method puts service data items with the same sampling cycle in a queue, and sorts the queue by a heuristic algorithm. Secondly, this method completes data sampling process for service data items in the queue in order. Simulation results show that this method can complete service data sampling in less than the period required by service analysis, and can reduce the redundant sampling rate by 60%～90％.

Key words: network management, data sampling, data item, data item queue, sorting

CLC Number:

TP393

GAI Bingshuai;WANG Jinlin;LIU Xue. Service-related data sampling methodology[J].J4, 2013, 40(2): 54-59+158.

References

［1］ ISO/IEC. 7498-4-1989 Open Systems Interconnection-Basic Reference Model-Management framework［S］. Geneva: ISO/IEEE, 1989.
［2］ Bai Jia, Eyisi E P, Xue Yuan, et al. Distributed Sampling Rate Adaptation for Networked Control Systems［C］//The First International Workshop on Cyber-Physical Networking Systems. Shanghai: ACM/IEEE, 2011: 768-773.
［3］ Alippi C, Anastasi G, Francesco M D, et al. An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors［J］. IEEE Trans on Instrumentation and Measurement, 2010, 59(2): 335-344.
［4］ Liu Chong, Wu Kui, Pei Jian. An Energy-Efficient Data Collection Framework for Wireless Sensor Networks by Exploiting Spatiotemporal Correlation［J］. IEEE Trans on Parallel and Distributed Systems, 2007, 18(7): 1010-1023.
［5］ Szalapski T, Madria S. Energy Efficient, Adaptive and Collaborative Data Sampling in Wireless Sensor Networks［C］//The 12th IEEE International Conference on Mobile Data Management. Lule: IEEE, 2011: 38-39.
［6］ Lassoued I, Barakat C. A Multi-task Adaptive Monitoring System Combining Different Sampling Primitives［C］//Proc of the 23rd International Teletraffic Congress. San Francisco: ACM, 2011: 79-86.
［7］ Halepovic E, Williamson C, Ghaderi M. DYNABYTE: a Dynamic Sampling Algorithm for Redundant Content Detection［C］//Proc of 20th International Conference on Computer Communications and Networks (ICCCN). Maui: IEEE, 2011: 1-8.
［8］ Aggarwal B, Akella A, Anand A, et al. EndRE: An End-System Redundancy Elimination Service for Enterprises［C］//Proc of the 7th USENIX Conference on Networked Systems Design and Implementation. Berkeley: ACM, 2010: 419-432.
［9］ Choi B Y, Park J, Zhang Zhili. Adaptive Random Sampling for Traffic Load Measurement［C］//IEEE International Conference on Communications. Anchorage: IEEE, 2003: 1552-1556.
［10］ Choi B Y, Park J, Zhang Zhili. Adaptive Packet Sampling for Accurate and Scalable Flow Measurement［C］//Global Telecommunications Conference. Dallas: IEEE, 2004: 1448-1452.
［11］ Durai B, Gonsalves T A, Sivalingam K M. Adaptive Push Based Data Collection Method for Online Performance Monitoring［C］//National Conference on Communications. Bangalore: the Indian Institute of Science, 2011: 1-5.
［12］ Ji Zhihui, Kuang Zhenguo, Ni Hong. A Novel Two-Dimension Adaptive Data Collection Method for Network Management［C］//International Conference on Communications and Mobile Computing. Kunming: IEEE, 2009: 237-241.
［13］ Gu Jun, Huang Xiaofei. Efficient Local Search With Search Space Smoothing: A Case Study of the Traveling Salesman Problem (TSP)［J］. IEEE Trans on Systems, Man, and Cybernetics, 1994, 24(5): 728-735.
［14］张军英, 敖磊, 贾江涛, 等. 求解TSP问题的改进蚁群算法［J］. 西安电子科技大学学报, 2005, 32(5): 681-685.
Zhang Junying, Ao Lei, Jia Jiangtao, et al. An Improvement of the Ant Colony Algorithm for Solving Tsp Problems［J］. Journal of Xidian University, 2005, 32(5): 681-685.

[1]	TAN Wen,GAN Xinbiao,BAI Hao,XIAO Tiaojie,CHEN Xuguang,LEI Shumeng,LIU Jie. Optimization of large-scale graph traversal for supercomputers [J]. Journal of Xidian University, 2021, 48(6): 84-95.
[2]	LIU Zhixin,ZHAO Yongjun. Pulse sorting and pairing based on the constrained extended TDOA histogram [J]. Journal of Xidian University, 2019, 46(6): 102-111.
[3]	QI Xiaogang,HU Qiuqiu,YAO Xuqing,LIU Lifang. Efficient alarm analysis approach for communication networks [J]. Journal of Xidian University, 2019, 46(4): 1-8.
[4]	LIU Juanni;ZHOU Quan. SMVQ-index classified coding for lossless data hiding [J]. Journal of Xidian University, 2016, 43(5): 128-132+146.
[5]	. A Service-Related Data Sampling Methodology [J]. J4, 2013, 40(2): 54-59.
[6]	REN Wenjuan;HU Donghui;DING Chibiao. New method for TDOA sorting and pairing using TDOAs' correlation [J]. J4, 2011, 38(6): 89-96.
[7]	WANG Shiqiang;ZHANG Dengfu;BI Duyan;YONG Xiaoju. Novel radar signal sorting method with low complexity [J]. J4, 2011, 38(4): 148-153.
[8]	FENG Ni'na；CHANG Yilin；LI Peng；YANG Fuzheng；LU Zhaoyang. GOP-level video transmission method using data partitioning in H.264/AVC [J]. J4, 2011, 38(3): 29-36+113.
[9]	HAN Wei-zhan;ZHANG Si-dong;SUN Yu. Research on and evaluation of the reliability of a communication network management and control system [J]. J4, 2008, 35(1): 133-139.
[10]	SHEN Zhong;CHANG Yi-lin;ZHANG Xin. A cluster maintenance method for self-organized network management [J]. J4, 2005, 32(5): 762-767.
[11]	LIU Fu-jie;CHANG Yi-lin;SHEN Zhong;ZHANG Xin;LI Song-quan. An implementation method for self-organized network management [J]. J4, 2004, 31(2): 182-185.

Service-related data sampling methodology

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 11

Metrics

Comments

Recommended 10