Abstract
Cloud computing is the most widely used technique which is being used by IT organizations worldwide, and it was a major disruption in IT industry and changed the landscape of the entire industry when it came into the picture as it changed the way how software was developed and distributed among their users. Cloud computing enables us to use remote resources such as network, compute, and storage over the Internet without the need to acquire physical hardware such as network cables, and servers which was the case before cloud computing came out as a concept where companies had their own on-premise data centers. Basically, cloud computing is also powered by data centers that contain a collection of several servers/systems, and systems are prone to failure which can be due to several reasons such as natural calamities, network failures, and famines which can be termed as a disaster. Disaster recovery is a technique which is used to recover the data and applications and perform a failover in such a way that the users experience the least possible downtime as well as maximum data is recovered while performing the failover. This research paper focuses on crafting an ideal solution for handling disaster recovery in cloud with minimum possible downtime for containerized microservices.
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Rangras, J., Bhavsar, S. (2021). Design of Framework for Disaster Recovery in Cloud Computing. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_49
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DOI: https://doi.org/10.1007/978-981-15-4474-3_49
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