Transformative Effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing:Evolution, Vision, Trends and Open Challenges

Gill, Sukhpal and Tuli, Shreshth and Xu, Minxian and Singh, Inderpreet and Singh, Karan and Lindsay, Dominic and Tuli, Shikhar and Smirnova, Daria and Singh, Manmeet and Jain, Udit and Pervaiz, Haris and Sehgal, Bhanu and Kaila, Sukhwinder Singh and Misra, Sanjay and Aslanpour, Mohammad Sadegh and Mehta, Harshit and Stankovski, Vlado and Garraghan, Peter (2019) Transformative Effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing:Evolution, Vision, Trends and Open Challenges. Internet of Things, 8. ISSN 2542-6605

[img]
Text (Transformative IoT - Released Journal Preprint)
Tranformative_IoT.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (762kB)

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.

Item Type:
Journal Article
Journal or Publication Title:
Internet of Things
Additional Information:
This is the author’s version of a work that was accepted for publication in Internet of Things. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Internet of Things, 8, 2019 DOI: 10.1016/j.iot.2019.100118
Subjects:
ID Code:
136935
Deposited By:
Deposited On:
25 Oct 2019 10:05
Refereed?:
Yes
Published?:
Published
Last Modified:
25 Sep 2020 04:35