AI for next generation computing: Emerging trends and future directions

Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani, Panos Patros, Rami Bahsoon, Arash Shaghaghi, Muhammed Golec, Vlado Stankovski, Huaming Wu, Ajith Abraham, Manmeet Singh, Harshit Mehta, Soumya K. Ghosh, Thar Baker, Ajith Kumar Parlikad, Hanan Lutfiyya, Salil S. Kanhere, Rizos Sakellariou, Schahram Dustdar, Omer RanaIvona Brandic, Steve Uhlig

Research output: Contribution to journalArticlepeer-review

Abstract

Autonomic computing investigates how systems can achieve (user) specified “control” outcomes on their own, without the intervention of a human operator. Autonomic computing fundamentals have been substantially influenced by those of control theory for closed and open-loop systems. In practice, complex systems may exhibit a number of concurrent and inter-dependent control loops. Despite research into autonomic models for managing computer resources, ranging from individual resources (e.g., web servers) to a resource ensemble (e.g., multiple resources within a data centre), research into integrating Artificial Intelligence (AI) and Machine Learning (ML) to improve resource autonomy and performance at scale continues to be a fundamental challenge. The integration of AI/ML to achieve such autonomic and self-management of systems can be achieved at different levels of granularity, from full to human-in-the-loop automation. In this article, leading academics, researchers, practitioners, engineers, and scientists in the fields of cloud computing, AI/ML, and quantum computing join to discuss current research and potential future directions for these fields. Further, we discuss challenges and opportunities for leveraging AI and ML in next generation computing for emerging computing paradigms, including cloud, fog, edge, serverless and quantum computing environments.

Original languageEnglish
Article number100514
JournalInternet of Things (Netherlands)
Volume19
DOIs
Publication statusPublished - 5 Mar 2022

Bibliographical note

Funding Information:
Sukhpal Singh Gill is a Lecturer (Assistant Professor) in Cloud Computing at the School of Electronic Engineering and Computer Science, Queen Mary University of London, UK. Prior to his present stint, Dr. Gill has held positions as a Research Associate at the School of Computing and Communications, Lancaster University, UK and also as a Postdoctoral Research Fellow at CLOUDS Laboratory, The University of Melbourne, Australia. Dr. Gill received his Bachelor’s degree in Computer Science and Engineering from Punjab Technical University with Distinction in 2010. Then, he obtained the Degree of Master of Engineering in Software Engineering (Gold Medallist), as well as a Doctoral Degree specialisation in Autonomic Cloud Computing from Thapar University. He was a DST (Department of Science & Technology) Inspire Fellow during his doctoral studies and also worked as a Senior Research Fellow (Professional) on a DST Project sponsored by the Government of India. One of his research paper has been nominated and selected for the ACM’s 21st annual Best of Computing Notable Books and Articles as one of the notable items published in computing — 2016. Dr. Gill was a research visitor at Monash University, University of Manitoba, University of Manchester and Imperial College London. Dr. Gill is serving as an Associate Editor in Wiley ETT and IET Networks Journal. He has co-authored 70+ peer-reviewed papers (with H-index 30+) and has published in prominent international journals and conferences such as IEEE TCC, IEEE TSC, IEEE TII, IEEE IoT Journal, Elsevier JSS and IEEE CCGRID. He has received several awards, including the Distinguished Reviewer Award from SPE (Wiley), 2018, Best Paper Award AusPDC at ACSW 2021 and has also served as the PC member for venues such as PerCom, UCC, CCGRID, CLOUDS, ICFEC, AusPDC. Dr. Gill served as a Guest Editor for SPE (Wiley) and JCC Springer Journal. He is a regular reviewer for IEEE TPDS, IEEE TSC, IEEE TNSE, IEEE TSC, ACM CSUR and Wiley SPE. He has edited a research book for Elsevier. Dr. Gill has reviewed 370+ research articles of high ranked journals and prestigious conferences according to the data from Publons. His research interests include Cloud Computing, Fog Computing, Software Engineering, Internet of Things and Energy Efficiency. For further information, please visit http://www.ssgill.me .

Funding Information:
Hanan Lutfiyya is a Professor and the Chair of the Department of Computer Science, University of Western Ontario (UWO), Canada. Her research interests include Internet of Things, software engineering, self-adaptive and self-managing systems, autonomic computing, monitoring and diagnostics, mobile systems, policies, and clouds. She was a recipient of the UWO Faculty Scholar Award in 2006. She is a Past Member of the Natural Science and Engineering Research Council of Canada (NSERC) Discovery Grant Committee, and a Past Member and the Chair of an NSERC Strategic Grants Committee. She was a member of the Computer Science Accreditation Council. She is currently an Associate Editor of the IEEE Transactions on Network and Service Management and has recently served as the Program Co-Chair for the IEEE/IFIP Network Operations and Management Symposium and the IEEE International Conference on Network and Service Management. She is currently on the steering committee for the Ontario Celebration of Women in Computing Conference.

Funding Information:
We thank Prof. Fatos Xhafa (Editor-in-Chief) and anonymous reviewers for their constructive suggestions and guidance on improving the content and quality of this paper. We also thank Prof. Rajkumar Buyya (The University of Melbourne) and Dr Felix Cuadrado (Technical University of Madrid) for their comments and suggestions for improving the paper. Regarding funding, Minxain Xu has been supported by the National Natural Science Foundation of China ( 62102408 ).

Funding Information:
Salil S. Kanhere received the MS and Ph.D. degrees from Drexel University, Philadelphia, USA. He is a Professor of Computer Science and Engineering at UNSW Sydney, Australia. His research interests include the Internet of Things, cyber–physical systems, blockchain, pervasive computing, cybersecurity, and applied machine learning. Salil is also affiliated with CISRO’s Data61 and the Cybersecurity Cooperative Research Centre. He is a Senior Member of the IEEE and ACM, an ACM Distinguished Speaker and an IEEE Computer Society Distinguished Visitor. He has received the Friedrich Wilhelm Bessel Research Award (2020) and the Humboldt Research Fellowship (2014), both from the Alexander von Humboldt Foundation in Germany. He has held visiting positions at I2R Singapore, Technical University Darmstadt, University of Zurich and Graz University of Technology. He serves as the Editor in Chief of the Ad Hoc Networks Journal and as an Associate Editor of IEEE Transactions On Network and Service Management, Computer Communications, and Pervasive and Mobile Computing. He has served on the organising committee of several IEEE/ACM international conferences including IEEE PerCom, IEEE/ACM IPSN, IEEE ICBC, IEEE WoWMoM, ACM MSWiM, etc. He has co-authored a book titled Blockchain for Cyberphysical Systems published by Artech House in 2020. Further details are at: https://salilkanhere.net/ .

Funding Information:
We thank Prof. Fatos Xhafa (Editor-in-Chief) and anonymous reviewers for their constructive suggestions and guidance on improving the content and quality of this paper. We also thank Prof. Rajkumar Buyya (The University of Melbourne) and Dr Felix Cuadrado (Technical University of Madrid) for their comments and suggestions for improving the paper. Regarding funding, Minxain Xu has been supported by the National Natural Science Foundation of China (62102408).

Publisher Copyright:
© 2022 Elsevier B.V.

Keywords

  • Artificial intelligence
  • Cloud computing
  • Edge computing
  • Fog computing
  • Machine learning
  • Next generation computing
  • Quantum computing
  • Serverless computing

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