Special Issue "Big Data and Internet of Thing"
A special issue of Future Internet (ISSN 1999-5903).
Deadline for manuscript submissions: 15 March 2018
Assoc. Prof. Simon James Fong
Department of Computer and Information Science, Data Analytics and Collaborative Computing Laboratory, University of Macau, Taipa, Macau SAR
Website1 | Website2 | E-Mail
Interests: data stream mining; big data; advanced analytics; bio-inspired optimization algorithms and applications; business intelligence; e-commerce; biomedical applications; wireless sensor networks
The Internet of Things (IoT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively, and is in the service or individuals, organizations, and businesses. In the process of doing so, a large amount of data with different formats and content should be efficiently processed, quickly and intelligently, through advanced algorithms, techniques, models, and tools. This new paradigm is enabled by the maturity of several different technologies, including the Internet, wireless communication, cloud computing, sensors, big data analytics, and machine learning algorithms.
Big data is another paradigm to describe the processing of data to have it “make sense” to people using IoT. Big data has five characteristics: Volume, velocity, variety, veracity, and value. There are reports that businesses and research communities equipped with big data skills can provide additional incentives, opportunities, funding, and innovation to their long-term strategies. The new knowledge, tools, practices, and infrastructure produced will enable breakthrough discoveries and innovation in physical science, engineering, mobile services, medicine, business, education, Earth science, security, and risk analysis.
Coupling IoT and big data will provide new synergies in all aspects, including technological advances, innovative ideas, intelligent services, smart cities incentives, and useful applications. IoT that serves as data collection platforms, and big data, which is the gold mine at the backend, are awaiting big data analytics to discover valuable insights. These two areas of IoT and big data complement each other, working hand-in-hand naturally, enabling new services and applications for improving our daily lives, as well as for better city planning and disaster and emergency control.
The aim of this Special Issue is to compile and publish novel ideas relating to the areas of IoT and/or big data, especially on new applications and related technology when these two fields fuse. We would like to solicit contributions from researchers from different disciplines, industrial practitioners, government agencies, and academia to discuss new ideas, research questions, recent results, and future challenges in this converging R&D field of IoT and big data. Topics including, but not limited to, the following are sought for submission.
- Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks
- Modelling, Experiments, Sharing Technologies & Platforms
- SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
- Analytics, Intelligence and Knowledge Engineering
- Data Centred Enabled Technologies
- Sensor, Wireless Technologies, APIs
- Data Management for Large Data
- Security, Privacy and Risk
- Software Frameworks (MapReduce, Spark, etc.) and Simulations
- Volume, Velocity, Variety, Veracity and Value
- Social Science and Implications for Big Data
- Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
- Big Data Algorithm, Methodology, Business Models and Challenges
- Wireless Systems and Applications
- Software Engineering for Big Data Analytics
- Smart City and Transportation
- Large-scale Information Systems and Applications
- Energy, Environment and Natural Science Applications
- Social Networks Analysis, Media and e-Government
- Risk Modelling, Simulation, Legal Challenges
- Open data: Issues, Services and Solutions
- Case Studies of Real Adoption
- Healthcare Services and Health Informatics
- Cancer and Tumour Studies with Big Data
- Data and Knowledge Management
- Context-awareness and Location-awareness
- Security, Privacy and Trust
- Performance Evaluation and Modelling
- Machine to Machine Communications
- Intelligent Systems for IoT and Services Computing
- Energy Efficiency
- Social Implications for IoT
- Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
- Artificial Intelligence
- Internet of Things
- Sensors Technologies
Associate Prof. Simon James Fong
Prof. Sabah Mohammed
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 550 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.