TY - JOUR

T1 - Transformative Effects of IoT, Blockchain and Artificial Intelligence on Cloud Computing

T2 - Evolution, Vision, Trends and Open Challenges

AU - Gill, Sukhpal

AU - Tuli, Shreshth

AU - Xu, Minxian

AU - Singh, Inderpreet

AU - Singh, Karan

AU - Lindsay, Dominic

AU - Tuli, Shikhar

AU - Smirnova, Daria

AU - Singh, Manmeet

AU - Jain, Udit

AU - Pervaiz, Haris

AU - Sehgal, Bhanu

AU - Kaila, Sukhwinder Singh

AU - Misra, Sanjay

AU - Aslanpour, Mohammad Sadegh

AU - Mehta, Harshit

AU - Stankovski, Vlado

AU - Garraghan, Peter

N1 - 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

PY - 2019/12/1

Y1 - 2019/12/1

N2 - 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.

AB - 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.

KW - Internet of Things (IoT)

KW - Cloud computing

KW - Artificial Intelligence

KW - Blockchain

UR - http://www.research.lancs.ac.uk/portal/en/publications/transformative-effects-of-iot-blockchain-and-artificial-intelligence-on-cloud-computing(d481598e-06d6-4c11-8ea8-94819f5b5541).html

U2 - 10.1016/j.iot.2019.100118

DO - 10.1016/j.iot.2019.100118

M3 - Journal article

VL - 8

JO - Internet of Things

JF - Internet of Things

SN - 2542-6605

M1 - 100118

ER -