Cloud Services or Cloud-based IoT environment brings together the capabilities of cloud computing processes and IoT devices functionalities as an end-to-end service. It uses big data processing and complex machine learning methods integrated with IoT data centers, for the exact data extraction process. Such incorporation of Cloud and IoT environments provides great strategies to the users in almost all fields. It helps in understanding the environmental conditions, user behavior, and usage patterns of a customer, identifying design errors, field tests for a product, and also in customer-centric personalization of a product to increase its value in the market.

Data collected from IoT sensors grows exponentially in volume which leads to another important issue called data gravity. Large data volumes can even attract cybercriminals. So, all the critical data needs to be handled in an extremely careful way where data privacy issues make headlines. Different secure ways in sharing and optimization of the gathered data need to be explored. So, to implement IoT solutions in a safe, secure, and effective manner, all business leaders who work in a cloud-based IoT environment need to create an IoT data management strategy.

There are several design primitives that determine the logical and physical structure of data management solutions for IoT. Data collection which targets the discovery and identification of actual data, data management which deals with storing and archiving data, and processing of stored data are essential in building a comprehensive IoT data management solution. Invariable machine to machine communication and its interactivity, systematic ways of power usage in information transmittal and managing, big data received from many devices, security and privacy, methods to integrate information from other devices, estimation and levying, internetworking between devices, infrastructure, and resources for successful IoT data management, minimal storage requirements, etc. are the major challenges and issues in IoT and cloud integration process.

This Special Issue focuses on novel developments, technologies, and challenges related to the efficient and innovative cloud-based IoT Environment for data management. We are particularly interested in the latest findings from research, ongoing projects, and review articles that can provide readers with current research trends and solutions.

Recommended topics (but not limited to)

• Evolving cloud computing patterns and technologies in data management
• Software service quality through personalization and reliability of cloud-based IoT Environment
• Advances in Distributed data management, data acquisition, and integration/fusion in IoT environment
• Predictive, prescriptive, descriptive analytics for cloud-based IoT Environment
• Evolving IoT for computational sustainability
• Optimized networking between IoT sensors for cloud environment
• Cybersecurity for IoT and cloud-based data management
• Performance analysis for cloud-based IoT Environment for data management systems
• Evolving embedded solutions for IoT device problems
• Evolving data management strategies and tools in IoT environment
• Evolving cloud infrastructure and its applications

Important dates

Submission deadline: 30 September 2024, 15 December 2024

Authors notification: 1 December 2024, 15 March 2025

Revision submission: 15 December 2024, 15 May 2025

Publication deadline: 1 September 2025

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Lead: Dr. Juan Vicente Capella Hernandez, General Director of the Polytechnic City of Innovation, Associate Professor, Universidad Politecnica de Valencia, Spain. Visiting Professor at the prestigious French engineering school “ESIGELEC” and Bharath University, India, email: jcapella@disca.upv.es

Dr. Juan V. Capella received the Eng. degree in Computer Science by the Universitat Politécnica de València (UPV) in 1998. He joined the Fault Tolerant Systems Research Group (GSTF) at ITACA institute, UPV, where he received the MS degree in Computer Engineering in 2002 and and Ph.D. by the UPV since 2010. He is an associate professor of the Department of Computer Engineering (DISCA), UPV, and Deputy Director of Research. He has been Head of HP Institute ETSINF from 2013 to 2015. He is visiting professor at ESIGELEC French engineering school, where he teaches in an international master degree. He has been involved in different innovation projects in higher education since 2002. His main research interests are distributed systems design, wireless and underwater sensor networks and Internet of Things (IoT). He has published six books and more than 60 scientific papers in refereed international journals and conferences, and has taken part in 14 research projects funded by the EU or the Ministry of Education, being the principal investigator in several of them. He is member of the editorial committee of two international journals, and he has been reviewer, organizer, and member of the program committee of several international conferences organized by IEEE and ACM. Dr. Capella has received a number of recognitions including several best paper awards, research impact awards form ITACA institute and Excellence Teacher Award from the Valencian Government (GVA).

Dr. Rodrigo da Rosa Righi, Professor and Researcher - Applied Computing Graduate Program University of Vale do Rio dos Sinos (Unisinos), Brazil, email: rrrighi@unisinos.br

Dr. Rodrigo da Rosa Righi is professor and researcher at University of Vale do Rio dos Sinos (Unisinos), Brazil. Rodrigo concluded his post-doctoral studies at KAIST - Korean Advanced Institute of Science and Technology, South Korea, under the following topics: RFID and cloud computing. He obtained his MS and PhD degrees in Computer Science from the Federal University of Rio Grande do Sul, Brazil, in 2005 and 2009, respectively. During his doctorate, Rodrigo performed a stage at Tecnische Universitaet Berlin, Germany. His research interests include performance analysis, process scheduling and migration, load balancing and resource provisioning on Cluster, Grid and Cloud environments. In addition, he has expertise on mobile and embedded computing systems in which employ Linux or WinCE operating systems. Finally, he is a member of both IEEE Computer Society and ACM.

Dr. Isaac Woungang, Dept of Computer ScienceToronto Metropolitan University, Canada, email: iwoungan@torontomu.ca

Dr. Isaac Woungang (Senior Member, IEEE) received the Ph.D. degree in mathematics from the University of the South, Toulon-Var, France, in 1994. From 1999 to 2002, he worked as a Software Engineer with Nortel Networks Corporation, Ottawa, ON, Canada. Since 2002, he has been with Ryerson University, Toronto, ON, Canada, where he is currently a Professor of Computer Science. He has published eight books and over 90 refereed technical papers in scholarly international journals and proceedings of international conferences. His current research interests include radio resource management in next-generation wireless networks, big data, Internet of Things, and cloud computing. He has served as the Chair of the Computer Chapter, IEEE Toronto Section, from 2012 to 2018. He has guest edited several special issues with various reputed journals, such as Computer Communications (Elsevier) and Telecommunication Systems (Springer).

Dr. Minu R I, Professor, Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology Kattankulathur, Chennai, India, email: minur@srmist.edu.in

Dr. R. I. Minu received the B.E. degree in electronics and communication engineering from Bharathidasan University, in 2004, and the M.E. and Ph.D. degrees in computer science and engineering from Anna University, in 2007 and 2015, respectively. She is currently a Faculty Member of the Department of Computer Science and Engineering, School of Computing, SRM Institute of Science and Technology, Kattankulathur, India. She has published more than 40 research articles in peer-reviewed journals, such as Elsevier, Springer-Verlag, Taylor &Fransics, and IEEE conferences. She has authored and edited three books thus far and is focusing on some of the emerging technologies, such as the IoT, edge/fog computing, artificial intelligence (AI), data science, blockchain, digital twin, and 5G. Her current research interests include computer vision, machine vision, the IoT, 5G, edge/fog computing, artificial intelligence, machine learning, and semantic web.