Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
By Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karandeep Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain and 8 more. Internet of Things, 2019
437 citations recorded by the source corpus.
Abstract Cloud computing plays a critical role in modern society and enables a range of applications from infrastructure to social media. Such system must cope with varying load and evolving usage reflecting societies’ interaction and dependency on automated computing systems whilst satisfying Quality of Service (QoS) guarantees. Enabling these systems are a cohort of conceptual technologies, synthesized to meet demand of evolving computing applications. In order to understand current and future challenges of such system, there is a need to identify key technologies enabling future applications. In this study, we aim to explore how three emerging paradigms (Blockchain, IoT and Artificial Intelligence) will influence future cloud computing systems. Further, we identify several technologies driving these paradigms and invite international experts to discuss the current status and future directions of cloud computing. Finally, we proposed a conceptual model for cloud futurology to explore the influence of emerging paradigms and technologies on evolution of cloud computing.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/beec8c6655fed9daed362d0b5a5e62c157cb5764
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- Mohammed A. M. Sadeeq
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- D. M. Ahmed
- Malik Ishfaq
- Imtiaz Ahmed
Citations in the corpus
- Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing (2022, background): “As a result, the chance of a single cloud node failing will be reduced, allowing for continuous operation [31].”
- IoT and Cloud Computing Issues, Challenges and Opportunities: A Review (2021, background): “The critical challenges of Cloud-IoT explained as follows [31].”
- AI for Next Generation Computing: Emerging Trends and Future Directions (2022, neutral): “Autonomic computing has been integrated in computing paradigms such as cloud, fog, edge, serverless and quantum computing using AI/ML techniques [19].”