A Fault Diagnostic Approach for the OSGi-Based Cloud Platform

详细信息    查看全文

• 关键词：OSGi ; Cloud platform ; Diagnostic ; Fault
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9773
• 期：1
• 页码：648-657
• 全文大小：2,703 KB
• 参考文献：1.Kim, D., Lee, C., Helal, S.: Enabling elastic services for OSGi-based cloud platforms. In: 7th International Conference on Ubiquitous and Future Networks, pp. 407–409 (2015)
  2.Jia, Z., Xing, X.: Log-based service diagnosis method in cloud. In: International Conference on Mechatronics and Control, pp. 1299–1303 (2014)
  3.Zhang, Y., Zheng, Z., Lyu, M.R.: BFTCloud: a byzantine fault tolerance framework for voluntary-resource cloud computing. In: 2011 IEEE 4th International Conference on Cloud Computing, pp. 444–451 (2011)
  4.Kopp, O., Leymann, F., Wutke, D.: Fault handling in the web service stack. In: 8th International Conference on Service Oriented Computing, pp. 303–317 (2010)
  5.Ardissono, L., Console, L., Goy, A., et al.: Enhancing web services with diagnostic capabilities. In: 3rd European Conference on Web Services, pp. 182–191 (2005)
  6.Friedrich, G., Fugini, M., Mussi, E., et al.: Exception handling for repair in service-based processes. IEEE Trans. Softw. Eng. 36, 198–215 (2010)CrossRef
  7.Hamadi, R., Benatallah, B., Medjahed, B.: Self-adapting recovery nets for policy-driven exception handling in business processes. Distrib. Parallel Databases 23, 1–44 (2008)CrossRef
  8.Dai, Y., Yang, L., Zhang, B., et al.: Exception diagnosis for composite service based on error propagation degree. In: 2011 IEEE International Conference on Services Computing, pp. 160–167 (2011)
  9.Hang, C., Can, C.: Research and application of distributed OSGi for cloud computing. In: 2010 International Conference on Computational Intelligence and Software Engineering. IEEE Wuhan Section (2010)
  10.OSGi Alliance, RFP 133 - Cloud Computing Technical Report. http://​citeseerx.​ist.​psu.​edu/​viewdoc/​download?​doi=​10.​1.​1.​370.​9597&​rep=​rep1&​type=​pdf
  11.Wang, P.C., Lin, C.L., Hou, T.W.: A service-layer diagnostic approach for the OSGi framework. IEEE Trans. Consum. Electron. 55, 1973–1981 (2009)CrossRef
  
• 作者单位：Zeng-Guang Ji (16)
  Rui-Chun Hou (16)
  Zhi-Ming Zhou (17)
  
  16. College of Information Science and Engineering, Ocean University of China, 238 Songling Road, Laoshan District, Qingdao, Shandong, China
  17. Newstar Computer Engineering Center, Ocean University of China, No. 23 Eastern Hongkong Road, Qingdao, Shandong, China
  
• 丛书名：Intelligent Computing Methodologies
• ISBN：978-3-319-42297-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9773

文摘

OSGi-based cloud platform has the advantages of dynamic update, real-time monitoring. It brings convenience to cloud service. But the research of OSGi-based cloud platform doesn’t get the attention it deserves now and the service diagnosis and fault recovery for the OSGi-based Cloud Platform haven’t been researched systematically, especially in the resource conflicts among services, fault diagnosis and handling. These issues generally require users’ interaction, increase the users’ learning curve, which may turn out to be a waste of time. This paper divides those faults on the OSGi-based cloud platform into several models, and presents an approach to resolve them. Our method can detect service conflicts, handle exceptions, and diagnose service errors. And this method is proved by our experiment that can diagnose faults, repair faults, and send notifications to users, even at running time.