381
Views
18
CrossRef citations to date
0
Altmetric
Articles

Providing a new approach to increase fault tolerance in cloud computing using fuzzy logic

ORCID Icon, ORCID Icon & ORCID Icon
Pages 139-147 | Received 11 Sep 2019, Accepted 20 Dec 2019, Published online: 03 Jan 2020

References

  • Kansal NJ, Chana I. Energy-aware virtual machine migration for cloud computing-a firefly optimization approach. J Grid Comput. 2016;14(2):327–345. doi: https://doi.org/10.1007/s10723-016-9364-0
  • MacChiano A, Musselwhite D, Tarcza R, et al. U.S. Patent No. 7,111,303. Washington (DC): U.S. Patent and Trademark Office; 2006.
  • Gu J, Hu J, Zhao T, et al. A new resource scheduling strategy based on genetic algorithm in cloud computing environment. J Comput (Taipei). 2012;7(1):42–52.
  • Haresh M, Kalady S. Agent based dynamic resource allocation on federated clouds. Recent advances in intelligent computational systems (RAICS); 2011. p. 111–114.
  • Xu M, Tian W, Buyya R. A survey on load balancing algorithms for virtual machines placement in cloud computing. Concurrency Comput: Pract Experience. 2017;29:12.
  • Goyal M, Saini P. A fault-tolerant energy-efficient computational offloading approach with minimal energy and response time in mobile cloud computing. 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC); IEEE; 2016. p. 44–49.
  • Mohammed B, Kiran M, Awan IU, et al. Optimising fault tolerance in real-time cloud computing IAAS environment. 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud); IEEE; 2016, August. p. 363–370.
  • Bala A, Chana I. Fault tolerance-challenges, techniques and implementation in cloud computing. Int J Comput Sci Issues (IJCSI). 2012;9(1):288.
  • Nandhini JM, Gnanasekaran T. Fault tolerance using adaptive checkpoint in cloud–an approach. Int J Comput Appl. 2017;175(6):9–14.
  • Ye K, Jiang X, Huang D, et al. Live migration of multiple virtual machines with resource reservation in cloud computing environments. 2011 IEEE International Conference on Cloud computing (CLOUD); IEEE; 2011. p. 267–274.
  • Malik S, Huet F. Adaptive fault tolerance in real time cloud computing. In 2011 IEEE World Congress on Services; IEEE; 2011, July. p. 280–287.
  • Chen X, Wang S, Dong Y, et al. Big data storage architecture design in cloud computing. In: National conference on big data technology and applications. Singapore: Springer; 2015, December. p. 7–14.
  • Cheraghlou MN, Khademzadeh A, Haghparast M. New fuzzy-based fault tolerance evaluation framework for cloud computing. J Netw Syst Manage. 2019;27(4):1–19.
  • Zhang W, Chen Q. From E-government to C-government via cloud computing. In: 2010 International conference on e-business and e-government. IEEE; 2010, May. p. 679–682.
  • Khaldi M, Rebbah M, Meftah B, et al. Fault tolerance for a scientific workflow system in a cloud computing environment. Int J Comput Appl. 2019;41(1):1–10.
  • Bui DM, Lee S. Fuzzy fault detection in IAAS cloud computing. Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication; ACM; 2016. p. 65.
  • Moghtadaeipour A, Tavoli R. A new approach to improve load balancing for increasing fault tolerance and decreasing energy consumption in cloud computing. 2015 2nd International Conference on Knowledge-based Engineering and Innovation (KBEI); IEEE; 2015. p. 982–987.
  • Imran A, Gias A, Rahman R, et al. Cloud-Niagara: a high availability and low overhead fault tolerance middleware for the cloud. 2013 16th International Conference on Computer and Information Technology (ICCIT); IEEE; 2014. p. 271–276.
  • Tchana A, Broto L, Hagimont D. Fault tolerant approaches in cloud computing infrastructures. Proceedings of the 8th International Conference on Autonomic and Autonomous Systems (ICAS’12); 2012. p. 42–48.
  • Das P, Khilar PM. VFT: A virtualization and fault tolerance approach for cloud computing. 2013 IEEE Conference on Information & Communication Technologies (ICT); IEEE; 2013. p. 473–478.
  • Garraghan P, Townend P, Xu J. Byzantine fault-tolerance in federated cloud computing. 2011 IEEE 6th International Symposium on Service Oriented System Engineering (SOSE); IEEE; 2011. p. 280–285.
  • Ballard G, Carson E, Knight N. Algorithmic-based fault tolerance for matrix multiplication on Amazon EC2. Virginia: citeseerx; 2009.
  • Bosilca G, Delmas R, Dongarra J. Algorithm-based fault tolerance applied to high performance computing. Journal of Parallel and Distributed Computing. 2009;69(4):410–416. doi: https://doi.org/10.1016/j.jpdc.2008.12.002
  • Bui DM, Lee S. Early fault detection in IaaS cloud computing based on fuzzy logic and prediction technique. J Supercomput. 2018;74(11):5730–5745. doi: https://doi.org/10.1007/s11227-017-2053-3
  • Jayadivya SK, Nirmala JS, Bhanu MSS. Fault tolerant workflow scheduling based on replication and resubmission of tasks in cloud computing. Int J Comput Sci Eng. 2012;4(6):996.
  • Gai K, Qiu L, Chen M, et al. SA-EAST: security-aware efficient data transmission for ITS in mobile heterogeneous cloud computing. ACM Trans Embedded Comput Syst (TECS). 2017;16(2):60.
  • Alamin MA, Elbashir MK, Osman AA. A Load Balancing Algorithm to Enhance the Response Time in Cloud Computing. Red Sea University Journal of Basic and Applied Science. 2017;2(2):473–490.
  • Smara M, Aliouat M, Pathan ASK, et al. Acceptance test for fault detection in component-based cloud computing and systems. Future Gener Comput Syst. 2017;70:74–93. doi: https://doi.org/10.1016/j.future.2016.06.030
  • Zhang Y. Classified scheduling algorithm of big data under cloud computing. Int J Comput Appl. 2019;41(4):262–267.
  • Alwabel A, Walters RJ, Wills GB. Evaluation of node failures in cloud computing using empirical data. Open J Cloud Comput (OJCC). 2014;1(2):15–24.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.