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Comparative Analysis of Best Cloud Service Providers for High Availability


Grigor Khachatryan


Vol. 22  No. 5  pp. 413-418


Using a cloud framework makes one able to easily create and manage cloud-based applications by combining various cloud computing aspects, such as development and deployment tools, middleware, and data storage, all of which are essential for cloud computing. Utilizing Big Data Analytics (BDA), businesses may store, analyze, and manipulate enormous amounts of information on the cloud. HA solutions are increasingly being used in the cloud because of their scalability, on-demand delivery, and flexibility. Many operators offer HA solutions that include floating internet protocols (IPs)along with the load balancing, but the examination of public cloud service disruption in past years suggests that a combo of numerous regions or virtual servers is needed to ensure ""five nines"" availability. Using several server locations and geographically dispersed clouds may boost efficiency and save costs in addition to decreasing failure risks. Moreover, the effective and adaptive provisioning of highly available multi-tier applications in various zones, as well as multi-cloud settings, presents different issues. Automated implementation and management of high-availability multi-tier infrastructure are made possible by launching innovative affinity processes like VM-to-location as well as role-based propagation or dispersion of modules among numerous clouds, and their correlating affinity rules.


Cloud framework, big data analytics, high availability, multi-cloud,