Advertisement

A Survey on Machine Learning Based Fault Tolerant Mechanisms in Cloud Towards Uncertainty Analysis

  • K. NivithaEmail author
  • P. Pabitha
Conference paper
  • 38 Downloads
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)

Abstract

Cloud computing has the tendency to provide on-demand resources. Recently, there has been a large-scale migration of enterprise applications to the cloud. Any unexpected events that occur in cloud due to its dynamic nature is termed as uncertainty. The most cause of uncertainty can be the unexpected fault that arises in cloud environment. Hence the early detection and recovery of fault can abruptly reduce the uncertainty by enhancing the Quality of Service in cloud applications. This paper discusses the types of faults and failures present in cloud environment and it gives an overview on the existing fault handling mechanisms.

Keywords

Cloud computing Uncertainty Fault Quality of Service Machine learning 

References

  1. 1.
    Amin, Z., Sethi, N., Singh, H.: Review on fault tolerance techniques in cloud computing. Int. J. Comput. Appl. 116(18), 9–14 (2015)Google Scholar
  2. 2.
    Araujo, J., Matos, R., Maciel, P., Vieira, F., Matias, R., Trivedi, K.S.: Software rejuvenation in eucalyptus cloud computing infrastructure: a method based on time series forecasting and multiple thresholds. In: 2011 IEEE Third International Workshop on Software Aging and Rejuvenation, pp. 38–43. IEEE, November 2011Google Scholar
  3. 3.
    Bodík, P., Menache, I., Chowdhury, M., Mani, P., Maltz, D.A., Stoica, I.: Surviving failures in bandwidth-constrained datacenters. In: Proceedings of the ACM SIGCOMM 2012 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, pp. 431–442. ACM (2012)Google Scholar
  4. 4.
    Bort, J.: Salesforce went down or a whole day. Business Insider, May 2016. http://www.businessinsider.com/salesforce-outage-is-an-internet-meme-2016-5
  5. 5.
    Chalermarrewong, T., Achalakul, T., See, S.C.W.: The design of a fault management framework for cloud. In: Proceedings of 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (2012)Google Scholar
  6. 6.
    CRN staff: The 10 biggest cloud outages of 2015 (sofar). CRN, December 2015. http://www.crn.com/slideshows/cloud/300079195/the-10-biggest-cloud-outages-of-2015.htm
  7. 7.
    Davis, N.A., Rezgui, A., Soliman, H., Manzanares, S., Coates, M.: FailureSim: a system for predicting hardware failures in cloud data centers using neural networks. In: IEEE 10th International Conference on Cloud Computing (CLOUD), pp. 544–551 (2017)Google Scholar
  8. 8.
    Garg, A., Bagga, S.: An autonomic approach for fault tolerance using scaling, replication and monitoring in cloud computing. In: 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), pp. 129–134. IEEE, October 2015Google Scholar
  9. 9.
    Goiri, Í., Julia, F., Guitart, J., Torres, J.: Checkpoint-based fault-tolerant infrastructure for virtualized service providers. In: 2010 IEEE Network Operations and Management Symposium-NOMS 2010, pp. 455–462. IEEE, April 2010Google Scholar
  10. 10.
    Hakkarinen, D., Chen, Z.: Multilevel diskless checkpointing. IEEE Trans. Comput. 62(4), 772–783 (2012)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Hasan, T., Imran, A., Sakib, K.: A case-based framework for self-healing paralysed components in distributed software applications. In: The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014), pp. 1–7. IEEE (2014)Google Scholar
  12. 12.
    Mugunthan, S.R.: Soft computing based autonomous low rate DDOS attack detection and security for cloud computing. J. Soft Comput. Paradig. (JSCP) 1(02), 80–90 (2019)Google Scholar
  13. 13.
    Jhawar, R., Piuri, V.: Fault tolerance and resilience in cloud computing environments. In: Computer and Information Security Handbook, pp. 165–181 (2017)CrossRefGoogle Scholar
  14. 14.
    Jhawar, R., Piuri, V.: Fault tolerance management in IaaS clouds. In: IEEE First AESS European Conference on Satellite Telecommunications (ESTEL), pp. 1–6, October 2012Google Scholar
  15. 15.
    Jhawar, R., Piuri, V., Santambrogio, M.: Fault tolerance management in cloud computing: a system-level perspective. IEEE Syst. J. 7(2), 288–297 (2012)CrossRefGoogle Scholar
  16. 16.
    Kaur, J., Kinger, S.: Analysis of different techniques used for fault tolerance. IJCSIT Int. J. Comput. Sci. Inf. Technol. 5(3), 4086–4090 (2014)Google Scholar
  17. 17.
    Kumar, M., Mathur, R.: Outlier detection based fault-detection algorithm for cloud computing. In: International Conference for Convergence for Technology, Pune, pp. 1–4 (2014)Google Scholar
  18. 18.
    Machida, F., Andrade, E., Kim, D.S., Trivedi, K.S.: Candy: component-based availability modeling framework for cloud service management using sysML. In: 2011 IEEE 30th International Symposium on Reliable Distributed Systems, pp. 209–218. IEEE, October 2011Google Scholar
  19. 19.
    Memishi, B., Ibrahim, S., Pérez, M.S., Antoniu, G.: Fault tolerance in MapReduce: a survey. In: Resource Management for Big Data Platforms, pp. 205–240. Springer, Cham (2012)Google Scholar
  20. 20.
    Mohammed, B., Kiran, M., Awan, I.U., Maiyama, K.M.: Optimising fault tolerance in real-time cloud computing IaaS environment. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 363–370. IEEE, August 2016Google Scholar
  21. 21.
    Myint, J., Naing, T.T.: Management of data replication for PC cluster-based cloud storage system (2011). arXiv preprint arXiv:1112.5917
  22. 22.
    Sharma, S.: Enhance data security in cloud computing using machine learning and hybrid cryptography techniques. Int. J. Adv. Res. Comput. Sci. 8(9), 393–397 (2017)CrossRefGoogle Scholar
  23. 23.
    Trivedi, M.: A survey on resource provisioning using machine learning in cloud computing. Int. J. Eng. Dev. Res 4(4), 546–549 (2017)MathSciNetGoogle Scholar
  24. 24.
    Tsidulko, J.: The 10 biggest cloud outages of 2014. CRN. The Channel Company, December 2014. http://www.crn.com/slideshows/cloud/300075204/the-10-biggest-cloud-outages-of-2014.htm?itc=Refresh. Accessed 5 Apr 2014

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer TechnologyMadras Institute of Technology - Anna UniversityChennaiIndia

Personalised recommendations