Abstract
A cloud is a virtual platform that lets you work efficiently. When it comes to deep digging into the cloud, it contains a physical data center which is attached at its backend where no one looks about it. As per the scenario, the concept of storage class can be built from any physical storage device when it combined with powerful microprocessors to form a cloud storage device. Cloud storage is of different levels, like standard level, business level, and enterprise level. We plan to build a standard-level storage class from a microprocessor, where these components are not suitable for higher interaction rates. A storage class depends upon speed, agility, performance which is high in enterprise level. As per the planning of concept, we tend to provide a standard storage class with a combination of a microprocessor to handle all types of storage acquisition from a prototype level. A microprocessor like Raspberry Pi or any other can perform the same type of complex operations, and Raspberry Pi lets you work in a feasible manner where it can be used as a computer with low cost. When it comes to the cloud maintenance level, it handles with insane capabilities and best performance with low latency. Own cloud runs efficiently when it bound with Raspberry Pi and a physical storage device. When these are confined properly, a standard storage class with a good performance level will be the output, where some couple of users can easily work with it. All these operations will smoothly work in local host. When it comes to accessing from a different location, it needs to be Port Forwarded. This lets you access from anywhere around the Globe.
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Padala, H.V.R., Vurukonda, N., Mandhala, V.N., Valluru, D., Tangirala, N.S.R., Lakshmi Manisha, J. (2021). Private Cloud for Data Storing and Maintain Integrity Using Raspberry Pi. In: Bhattacharyya, D., Thirupathi Rao, N. (eds) Machine Intelligence and Soft Computing. Advances in Intelligent Systems and Computing, vol 1280. Springer, Singapore. https://doi.org/10.1007/978-981-15-9516-5_28
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DOI: https://doi.org/10.1007/978-981-15-9516-5_28
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