期刊文献+

基于有色Petri网的工作流故障诊断方法 被引量:1

Colored Petri Net Based Fault Diagnosis Approach for Workflow
下载PDF
导出
摘要 工作流系统的故障自动诊断和定位是云计算环境提供持续服务的基础;为了提高工作流系统的故障诊断准确性,文章提出了一种基于有色Petri网的故障诊断方法;首先,用开放世系模型对工作流进行建模;然后,提出了一种基于有色Petri网的故障模型;最后,将工作流的开放世系模型转化为有色Petri网故障模型,并提出了相应的多故障诊断方法;实验表明,文章提出的方法不仅故障定位的准确率和执行效率高于相关算法,还能有效的识别系统中的多个故障。 Fault diagnosis and location in workflow is the basis for providing continuous services in Cloud environment. In order to im- prove the accuracy of fault diagnosis in workflow, this paper proposed a colored Petri net based fault diagnosis approach. Firstly, modeled the workflow with open provenance model. Secondly, proposed a colored Petri net based fault model. Finally, translated the open provenance model of workflow into the colored Petri net model, and proposed corresponding fault diagnosis approach for multi fault. The experiments show that, the proposed approach has better accuracy and execution efficiency for fault diagnosis than related work, and can recognize multiple faults at the same time effectively.
作者 曾哲军 杨进
出处 《计算机测量与控制》 2015年第3期719-722,共4页 Computer Measurement &Control
基金 国家自然科学基金项目(65073145)
关键词 有色PETRI网 故障诊断 云计算 数据世系 colored Petri net fault diagnosis cloud eomputing data provenance
  • 相关文献

参考文献13

  • 1Barker A, Van Hemert J. Scientific workflow: a survey and re- search directions [M]. Parallel Processing and Applied Mathemat- ics. Springer Berlin Heidelberg, 2008:746 - 753.
  • 2Pandey S, Wu L, Guru S M, et al. A particle swarm optimization-- based heuristic for scheduling workflow applications in cloud compu- ting environments l-A]. Advanced Information Networking and Ap- plications (AINA), 2010 24th IEEE International Conference on [C]. IEEE, 2010 : 400 - 407.
  • 3Bhaduri K, Das K, Matthews B L. Detecting abnormal machine characteristics in cloud infrastructures [A]. Data Mining Work- shops (ICDMW), 2011 IEEE llth International Conference on [C]. IEEE, 2011: 137-144.
  • 4Bronevetsky G, Laguna I, Supinski B, et al. Bagchi. Automatic fault characterization via abnormality--enhanced classification [A] inProceedings of the 2012 IEEE/IFIP International Conference on Dependable Systems and Networks (DSN2012), Boston [C]. MA, 2012: 1-12.
  • 5Bodik P, Goldszmidt M, Fox A, et al. Fingerprinting the data- center: automated classification of performance crises [A]. Pro- ceedings of the 5th European conference on Computer systems [C]. ACM, 2010: 111-124.
  • 6吴明强,史慧,朱晓华,肖开清.故障诊断专家系统研究的现状与展望[J].计算机测量与控制,2005,13(12):1301-1304. 被引量:68
  • 7Cherkasova L, Ozonat K, Mi N, et al. Anomaly application change or workload change? towards automated detection of application per- formance anomaly and change [A]. Dependable Systems and Net- works With FTCS and DCC, 2008. DSN 2008. IEEE InternationalConference on [C]. IEEE, 2008: 452-461.
  • 8Jiang G, Chen H, Yoshihira K. Modeling and tracking of transac- tion flow dynamics for fault detection in complex systems [J]. De- pendable and Secure Computing, IEEE Transactions on, 2006, 3 (4): 312-326.
  • 9Jiang M, Munawar M A, Reidemeister T, et al. Efficient fault de- tection and diagnosis in complex software systems with informat~.on --theoretic monitoring [J]. Dependable and Secure Computing, IEEETransactlons on, 2011, 8 (4): 510-522.
  • 10Munawar M A, Ward P A S. A comparative study of pairwise re- gression techniques for problem determination [A]. Proceedings of the 2007 conference of the center for advanced studies on Collab-orative research [C]. IBM Corp. , 2007: 152 - 166.

二级参考文献17

共引文献83

同被引文献7

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部