"Cloud computing" refers to large-scale parallel and distributed systems, which are essentially collections of autonomous.
As a result, the “cloud organization” is made up on a wide range of ideas and experiences collected since the first digital computer was used to solve algorithmically
complicated problems. Due to the complexity of established parallel and distributed computing ontologies, it is necessary for developers to have a high level of
expertise to get the most out of the consolidated computer resources. The directions for future research for parallel and distributed computing are critically
presented in this research: technology and application and cross-cutting concerns.
Keywords
Parallel and Distributed Systems, Artificial Intelligence, Machine Learning, Cloud Computing.
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Rimma Padovano
Rimma Padovano
Department of Computer Science, Columbia University, USA.
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Cite this article
Rimma Padovano, “Critical Analysis of Parallel and Distributed Computing and Future Research Direction of Cloud Computing”, Journal of Computing and Natural Science, vol.1, no.4, pp. 114-120, October 2021. doi: 10.53759/181X/JCNS202101017.
