Special issue on Artificial Intelligence in Cloud Computing

Guest Editors

Prof. Wai Chi Fang, National Chiao Tung University, Taiwan (Dr.WFang@gmail.com)
Prof. Sabah Mohammed, (Lead Guest Editor), Lakehead University, Canada, (mohammed@lakeheadu.ca)
Prof. Carlos Ramos, ISEP, Polytechnic of Porto, (CSR@isep.ipp.pt)

Aims and Scope

Cloud computing market has grown exponentially over the years and is expected to grow at an even faster pace. It became a fundamental part of organizations today because of the benefits it offers to the digitally connected world. Artificial Intelligence equips cloud computing with tremendous power. The combination of cloud computing and AI has bought a major change in the world of information technology and various other industries and it is seen as the way forward. It is believed to have the potential to change the way data used to get stored and processed across various geographies. AI might just be the technology to revolutionize cloud computing solutions. It also presents a unique opportunity for cloud and artificial intelligence professional to explore the endless possibilities of the future. However, artificial intelligence and cloud computing also raise many research challenges.

This special issue aims to gather researches and practitioners working in the same field in order to present, discuss challenges and share original research works and practical experiences, and provide the latest and most innovative contributions.

Topics

Knowledge-based systems Artificial Intelligence tools and applications Multimedia and cognitive informatics Natural language processing Pattern recognition Data mining and machine learning tools in cloud computing Heuristic and AI planning strategies and tools Hybrid intelligent systems in the cloud Intelligent system architectures Agent-based and multi-agent systems Big data capture, representation and analytics Constraint satisfaction, search and optimization Data mining and knowledge discovery in the cloud Machine learning and application in cloud computing Cloud computing architecture and systems Cloud computing models, simulations, designs, and paradigms Dynamic resource provision and consuming Cloud computing technologies, services and applications Security evaluation and benchmarks based on cloud Security policy, security theory and models based on big data Edge Computing and Distributed Cloud

Tentative Schedule

Select papers and invite authors:    15 May 2020
Extended version submission:         31 August 2020
Notification:                                    15 November 2020
Revision submission:                       15 January 2021
Final notification:                            15 April 2021
Publication:                                      4th quarter of 2021 (tentative)

Submission Guidelines

Any other high quality submission that fits the topics of this special issue is welcome. All invited papers will be subjected to the same rigorous review process as the regular submissions to this special issue. Submitted articles must not have been previously published or currently submitted for publication elsewhere. For work that has been published previously in a workshop or conference, it is required that submissions to the special issue have at least 50% new content.

All submitted manuscripts must be formatted according to  Computing's instructions for authors which are available at https://www.springer.com/journal/607/submission-guidelines. We will accept only LaTeX manuscripts (which must use Springer template).

Manuscript length

Please note that the page limit for Special Issue submissions differs from that of regular Computing submissions. Manuscripts submitted to the Special Issue should not exceed 20 pages. Submission that do not comply with this requirement are likely to be desk rejected without being reviewed.

Submission instruction

Manuscripts should be submitted using the online submission system at (http://www.springer.com/607).

Authors should select ‘SI:  Artificial Intelligence in Cloud Computing’ during the submission step 'Additional Information'.