Elsevier

Future Generation Computer Systems

Volume 87, October 2018, Pages 416-419
Future Generation Computer Systems

Editorial
Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing

https://doi.org/10.1016/j.future.2018.05.021Get rights and content

Abstract

Although Big Data, IoT and cloud computing are three distinct approaches that have evolved independently, they are becoming more and more interconnected over time. The convergence of IoT, Big Data and clouds provides new opportunities and results in development of new applications in many fields, including business, healthcare, sciences and engineering. At the same time, various challenges are faced during processing and management of massive amounts of data, as well as during their storage in cloud environments. This special issue presents novel research approaches related to Big Data, IOT and cloud computing. It also discusses the encountered problems and open issues.

Introduction

Cloud computing has emerged as an important computing paradigm, enabling ubiquitous convenient on-demand access through Internet to a shared pool of configurable computing resources [[1], [2]]. In this paradigm, software (applications, databases, or other data), infrastructure and computing platforms are widely used as services for data storage, management and processing. They provide a number of benefits, including reduced IT costs, flexibility, as well as space and time complexity. To benefit, however, from numerous promises that cloud computing offers, many issues have to be resolved, including architectural solutions, performance optimization, resource virtualization, providing reliability and security, ensuring privacy, etc [[3], [4], [5]].

Another significant technology trend that nowadays is gaining increasing attention is Internet of Things (IoT) [[6], [7]]. In IoT, intelligent and self conguring embedded devices and sensors are interconnected in a dynamic and global network infrastructure, enabling scalability, flexibility, agility and ubiquity in fields of massive scale multimedia data processing, storage, access and communications. IoT is driving new interest in Big Data [[8], [9], [10]], by generation of enormous amount of new types of data being generated by sensors and other input devices, which have to be stored, processed and accessed. The need to monitor, analyze and act upon these data brings many issues like data confidentiality, data verification, authorization, data mining, secure communication and computation.

The future development of cloud computing systems is more and more influenced by Big Data and IoT [[11], [12]]. There are research and industrial works showing applications, services, experiments and simulations in Clouds that support the cases related to IoT and Big Data [[13], [14], [15]]. Provision of above issues presents a new set of emerging problems and challenges that are expected to be identified and addressed. Therefore, the aim of this special issue is to present and discuss novel ideas and research outcomes on all aspects of Big Data, Internet of Things and cloud computing, as well as to identify new research topics. In particular, this special issue aims to examine the prospects and challenges that arise during the conjunction of the modern cloud applications with the field of Internet of Things and Big Data. Promoting the submission of the ongoing work with the existing important theoretical and practical results, along with position papers and case studies of already present verification projects, this special issue will highlight the art in this domain. As one of the goals, this special issue intends also to convene researchers and practitioners to review the diverse range of features of security, privacy, trust and reliability in IoT and Cloud. It also examines significant theories, scrutinies technology enablers, formulates significant application and devise new methods to overcome the major problems that this research area poses.

Section snippets

Brief review of special issue content

The special issue consists of invited top conference papers from SC2-2016 and IoTDBS 2017 conferences, as well as papers from the open call. In the response to the call for papers, 128 high-quality manuscripts submitted by various authors, and encompassing the most varied topics within the scope of the special issue were received. All manuscripts underwent a rigorous peer review process to ensure they meet the standards and quality of the FGCS journal. A throughout analysis of the research

Anna Kobusinska received her M.Sc. and Ph.D. degrees in computer science from Poznań University of Technology, in 1999 and 2006, respectively. She currently works at the Laboratory of Computing Systems, Faculty of Computing Science, Poznań University of Technology, Poland. Her research interests include large-scale distributed systems, service-oriented systems and cloud computing. She focuses on distributed algorithms, Big Data analysis, replication and consistency models, as well as

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Anna Kobusinska received her M.Sc. and Ph.D. degrees in computer science from Poznań University of Technology, in 1999 and 2006, respectively. She currently works at the Laboratory of Computing Systems, Faculty of Computing Science, Poznań University of Technology, Poland. Her research interests include large-scale distributed systems, service-oriented systems and cloud computing. She focuses on distributed algorithms, Big Data analysis, replication and consistency models, as well as fault-tolerance, specifically checkpointing and rollback recovery techniques.

She has served and is currently serving as a PC member of several international conferences and workshops. She is also author and co-author of many publications in high quality peer reviewed international conferences and journals. She participated to various research projects supported by national organizations and by EC in collaboration with academic institutions and industrial partners.

Carson Leung received his B.Sc. (Hons.), M.Sc., and Ph.D. degrees all from the University of British Columbia, Vancouver, Canada. He is currently a Professor at the University of Manitoba, Canada. He has contributed more than 200 refereed publications on the topics of big data, data analytics, databases, data mining, Internet of Things (IoT), cloud computing, social network analysis, and visual analytics. These include papers in ACM Transactions on Database Systems (TODS), Future Generation Computer Systems (FGCS), Journal of Organizational Computing and Electronic Commerce, Social Network Analysis and Mining, World Wide Web Journal (WWW J), IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Data Mining (ICDM), the SCA 2012 Best Paper on social computing and its applications, as well as the IEEE/ACM ASONAM-FAB 2016 Best Paper on foundations and applications of big data analytics. In recent years, he has taken different roles in the Organizing Committee of various refereed international conferences such as ACM CIKM, ACM SIGMOD, IEEE ICDM, and IEEE SC2. For instance, he has served as a General Chair for IEEE CBDCom 2016 & IEEE SmartData 2018, a Program Chair for IEEE BigDataSE 2016 & IEEE HPCC 2016, as well as the Finance Chair for IEEE DSAA 2016. He is a Senior Member of the ACM and the IEEE.

Ching-Hsien Hsu is a Distinguished Professor in the department of computer science and information engineering at Chung Hua University, Taiwan; his research includes high performance computing, cloud computing, parallel and distributed systems, big data analytics, ubiquitous/pervasive computing and intelligence. Dr. Hsu is serving as editorial board for a number of prestigious journals, including IEEE Transactions on Service Computing, IEEE Transactions on Cloud Computing. Dr. Hsu was awarded six times talent awards from Ministry of Science and Technology, Ministry of Education, and nine times distinguished award for excellence in research from Chung Hua University, Taiwan. Dr. Hsu is Vice Chair of the IEEE Technical Committee on Cloud Computing (TCCLD), and IET Fellow.

Raghavendra S. is a research scholar in the department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore. He received his Bachelor degree in Computer Science and Engineering from BMS Institute of Technology, Visvesvaraya Technological University, Bangalore and Master degree from R V College of Engineering, Visvesvaraya Technological University, Bangalore. Dr. Raghavendra S. has authored over 20 publications and his research interests include Cloud Computing, applied cryptography and Internet of Things. He is serving as Reviewer, editorial board member and Guest editor for a number of prestigious journals, like Elsevier, Springer, KJIP, Wily. He is a member of the IEEE.

Victor Chang is an Associate Professor (Reader), Director of Ph.D. (June 2016 – May 2018) and Director of MRes at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, since June 2016. He is also a very active and contributive key member at Research Institute of Big Data Analytics (RIBDA), XJTLU. Previously he worked as a Senior Lecturer at Leeds Beckett University, UK, for 3.5 years. Within 4 years, he completed Ph.D. (CS, Southampton) and PGCert (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012 and 2015, the 2016 European award: Best Project in Research, 2016 SEID Excellent Scholar, Suzhou, China, Outstanding Young Scientist award in 2017, 2017 special award on Data Science, 2017 and 2018 INSTICC Service Awards and numerous awards since 2012. He is a visiting scholar/Ph.D. examiner at several universities, an Editor-in-Chief of IJOCI & OJBD journals, Editor of FGCS, Associate Editor of TII, founding chair of two international workshops and founding Conference Chair of IoTBDS http://www.iotbd.org and COMPLEXIS http://www.complexis.org since Year 2016. He was involved in different projects worth more than £12.5 million in Europe and Asia. He has published 3 books as sole authors and the editor of 2 books on Cloud Computing and related technologies. He gave 16 keynotes at international conferences. He is widely regarded as one of the most active and influential young scientist and expert in IoT/Data Science/Cloud/security/AI/IS.

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