Skip to main content

A Fault Diagnostic Approach for the OSGi-Based Cloud Platform

  • Conference paper
  • First Online:
Intelligent Computing Methodologies (ICIC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9773))

Included in the following conference series:

  • 2959 Accesses

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  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)

    Google Scholar 

  2. Jia, Z., Xing, X.: Log-based service diagnosis method in cloud. In: International Conference on Mechatronics and Control, pp. 1299–1303 (2014)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Article  Google Scholar 

Download references

Acknowledgement

This work was supported by the grants of the National Science & Technology Pillar Program (No. 2015BAF04B02), and supported by the grants of the Major Projects in Shandong Province (No. 2015ZDXX0101G07).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zeng-Guang Ji .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Ji, ZG., Hou, RC., Zhou, ZM. (2016). A Fault Diagnostic Approach for the OSGi-Based Cloud Platform. In: Huang, DS., Han, K., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2016. Lecture Notes in Computer Science(), vol 9773. Springer, Cham. https://doi.org/10.1007/978-3-319-42297-8_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-42297-8_60

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42296-1

  • Online ISBN: 978-3-319-42297-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics