ans

DNS and Cloud failover

Failover refers to standby computer servers, application, or network used in switching in case of termination or failure of the functions of the system components’ that was previously active. It serves as a model for backup operations. Failover should always be available as it is useful in making systems more tolerant to a fault and ensuring that systems and applications are still available irrespective of the extent of the fault (Mohammed et al., 2017). The two mainly used methods by businesses are DNS and cloud failover.

DNS failover is designed to operate at the DNS level that is before a client links to any of the servers by basically converting clients name into the IP address of the servers. It is, therefore, possible to easily control traffic and inexpensively, since it monitors applications, as well as dynamically altering DNS so different IP addresses, are pointed to clients. Cloud failover is designed to operate at the network layer (Qasmi et al., 2018). This is after DNS servers, and it is before connection to the application are done by the clients. It does not dynamically alter DNS servers. Therefore, DNS failover is inexpensive than cloud failover.

Although both failovers allows for automatic or manual failback, In DNS failover, a DNS change for redirecting traffic is required. This change propagates the internet to meet the clients’ requirements. However, no change is needed to reproduce the internet in Cloud failover (Qasmi et al., 2018). Moreover, the DNS is matched for content that server synchronization is essential while no synchronization is required in Cloud failover.

In conclusion, although the failover has a few demerits, the overall significances are many. The servers are experiencing high preferences nowadays, and enterprise should consider the installation of Cloud failover mostly (Ukwandu et al., 2015). This is because the failover offers a reliable system that should be taken advantage of by the businesses in the process of protecting their systems.

References

Mohammed, B., Kiran, M., Maiyama, K. M., Kamala, M. M., & Awan, I. U. (2017). Failover strategy for fault tolerance in cloud computing environment. Software: Practice and Experience, 47(9), 1243-1274.

Qasmi, W. N. A., Siddiqui, T., Shehzad, M. K., Iqbal, A., & Ilyas, M. S. (2018, January). A comparative study of failover schemes for IaaS recovery. In 2018 International Conference on Information Networking (ICOIN) (pp. 25-30). IEEE.

Ukwandu, E., Buchanan, W. J., Fan, L., Russell, G., & Lo, O. (2015, August). RESCUE: Resilient secret sharing cloud-based architecture. In 2015 IEEE Trustcom/BigDataSE/ISPA (Vol. 1, pp. 872-879). IEEE.