Page 332 - 《软件学报》2020年第10期
P. 332
3308 Journal of Software 软件学报 Vol.31, No.10, October 2020
[13] Yamanishi K, Maruyama Y. Dynamic syslog mining for network failure monitoring. In: Proc. of the 11th ACM SIGKDD Int’l Conf.
on Knowledge Discovery in Data Mining. ACM, 2005. 499−508.
[14] Yuan D, Mai H, Xiong W, et al. SherLog: Error diagnosis by connecting clues from run-time logs. ACM SIGPLAN Notices, 2010,
45(3):143−154.
[15] Peng W, Li T, Ma S. Mining logs files for data-driven system management. ACM SIGKDD Explorations Newsletter, 2005,7(1):
44−51.
[16] Wang XD, Zhao YN, Xiao HL, et al. Research on anomaly detection system of online multi node log flow. Journal of Frontiers of
Computer Science and Technology, 2020 (in Chinese with English abstract). [doi: 10.3778/j.issn.1673-9418.2002015]
[17] Hamming RW. Error detecting and error correcting codes. Bell System Technical Journal, 1950,29(2):147−160.
[18] Levenshtein VI. Binary codes capable of correcting deletions, insertions and reversals. Soviet Physics Doklady, 1966,10(1):
845−848.
[19] Needleman SB, Wunsch CD. A general method applicable to the search for similarities in the amino acid sequence of two proteins.
Journal of Molecular Biology, 1970,48(3):443−453.
[20] Smith TF, Waterman MS. Identification of common molecular subsequences. Journal of Molecular Biology, 1981,147(1):195−197.
[21] Seker SE, Altun O, Ayan U, et al. A novel string distance function based on most frequent K characters. Int’l Journal of Machine
Learning & Computing, 2014,4(2):177−183.
[22] Zhao Y, Xiao H. Extracting log patterns from system logs in LARGE. In: Proc. of the 2016 IEEE Int’l Parallel and Distributed
Processing Symp. Workshops. IEEE, 2016. 1645−1652.
[23] Improvement of log pattern extracting algorithm using text similarity. In: Proc. of the Int’l Parallel and Distributed Processing
Symp. Workshops. Vancouver: IEEE, 2018. 507−514.
[24] Lakhina A, Crovella M, Diot C. Diagnosing network-wide traffic anomalies. In: Proc. of the Conf. on Applications, Technologies,
Architectures, and Protocols for Computer Communications. ACM, 2004. 219−230.
[25] Sokal RR, Rohlf FJ. The comparison of dendrograms by objective methods. Taxon, 1962,11(2):33−40.
附中文参考文献:
[1] 赵一宁,肖海力.网格环境日志分析框架 LARGE 的设计.科研信息化技术与应用,2016,7(3):3−7.
[16] 王晓东,赵一宁,肖海力,等.线上多节点日志流量异常检测系统的研究.计算机科学与探索,2020. [doi: 10.3778/j.issn.1673-9418.
2002015]
王晓东(1989-),男,博士生,主要研究领域 迟学斌(1963-),男,博士,研究员,博士生
为日志处理分析,数据挖掘,机器学习. 导师,CCF 杰出会员,主要研究领域为并行
计算与软件,网格计算技术,高性能计算机
系统维护与管理.
赵一宁(1983-),男,博士,助理研究员,主 王小宁(1981-),女,博士,副研究员,主要
要研究领域为日志处理分析,数据挖掘. 研究领域为分布式计算,网格计算.
肖海力(1978-),男,博士,研究员,CCF 专
业会员,主要研究领域为网格计算,分布式
计算.