[AISWorld] International Conference on Internet of Things and Big Data 2016 (IoTBD 2016), Rome, Italy, April 23-25, 2016 (papers due by Oct 28)
Chang V.I.
vic1e09 at soton.ac.uk
Mon Aug 17 13:45:37 EDT 2015
Website: www.iotbd.org
Venue and date: Rome, Italy, April 23-25 , 2016
Regular paper deadline: Oct 28, 2015
We offer the best paper, best student paper and best project.
SCOPE (sorry for cross posting)
Internet of Things (IoT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively and in the service or individuals, organizations and businesses. In the process of doing so, a large amount of data with different formats and content has to be processed efficiently, 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 processing of data to make 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 infrastructures produced will enable breakthrough discoveries and innovation in physical science, engineering, mobile services, medicine, business, education, earth
science, security and risk analysis. For organizations that adopt Big Data, the boundary between the use of private clouds, public clouds, IoT is sometimes very thin to allow better access, performance and efficiency of analyzing the data and understanding the data analysis. A common approach is to develop Big Data in the IoT to deliver "Everything as a Service". In the process of doing so, innovative services known as "Emerging Services and Analytics" can be the highlight and strategic solutions to organizations adopting IoT and Big Data.
CONFERENCE AREAS
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. INTERNET OF THINGS (IOT)
2. INTERNET OF THINGS (IOT) SMART CITY AND INTELLIGENT SYSTEMS
3. BIG DATA RESEARCH
4. BIG DATA AND COMPLEX BIOLOGICAL SCIENCE
5. EMERGING SERVICES AND ANALYTICS
AREA 1: INTERNET OF THINGS (IOT)
Network Design and Architecture
Software Architecture and Middleware
Mobile Services
Data and Knowledge Management
Context-awareness and Location-awareness
Security, Privacy and Trust
Performance Evaluation and Modeling
Networking and Communication Protocols
Machine to Machine Communications
Intelligent Systems for IoT and Services Computing
Energy Efficiency
Social Implications for IoT
Future of IoT and Big Data
AREA 2: INTERNET OF THINGS (IOT) SMART CITY AND INTELLIGENT SYSTEMS
Technological focus for Smart Environments
Next Generation Networks
Smart City Examples and Case Studies
Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
Architecture for secure and interactive IoT
Intelligent Infrastructure and Guidance Systems
Traffic Theory, Modeling and Simulation
Sensor Networks, Remote Diagnosis and Development
Transportation Management
Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
AREA 3: BIG DATA RESEARCH
Big Data fundamentals – Services Computing, Techniques, Recommendations and Frameworks
Modeling, Experiments, Sharing Technologies & Platforms
SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
Analytics, Intelligence and Knowledge Engineering
Data Center Enabled Technologies
Sensor, Wireless Technologies, APIs
Networking and Social Networks
Data Management for Large Data
Security, Privacy and Risk
Software Frameworks (MapReduce, Spark etc) and Simulations
Modern Architecture
Volume, Velocity, Variety, Veracity and Value
Social Science and Implications for Big Data
AREA 4: BIG DATA AND COMPLEX BIOLOGICAL SCIENCE
Smart City and Transportation
Education and Learning
Business, Finance and Management
Large-scale Information Systems and Applications
Energy, Environment and Natural Science Applications
Social Networks Analysis, Media and e-Government
Proofs-of-concepts and Large-scale Experiments
Risk Modeling, Simulation, Legal Challenges
Open data: Issues, Services and Solutions
Earth Science Simulation and Processing
GPUs and Visualization
Case Studies of Real Adoption
Biomedical Experiments and Simulations
Healthcare Services
Health Informatics
Cancer and Tumor Studies with Big Data
DNA Sequencing
Brain, Heart and Organ Simulations and Processing
Volume, Velocity, Variety and Veracity for Biological Science
AREA 5: EMERGING SERVICES AND ANALYTICS
Health Informatics as a Service (HIaaS) for any Type of Health Informatics, Computation and Services
Big Data as a Service (BDaaS) including Frameworks, Empirical Approaches and Data Processing Techniques
Big Data Algorithm, Methodology, Business Models and Challenges
Security as a Service including any Algorithms, Methodology and Software Proof-of-concepts
Financial Software as a Service (FSaaS) including Risk and Pricing Analysis; Predictive Modeling
Education as a Service (EaaS) including e-Learning and Educational Applications
Business Process as a Service (BPaaS) including Workflows and Supply Chain in the Cloud
Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for Cloud
Natural Science as a Service (NSaaS) including Weather Forecasting and Weather Data Visualization
System Design and Architecture
Mobile APIs, Apps, Systems and Prototype
Gaming as a Service (GaaS)
Framework (conceptual, logical or software)
Analytics as a Service (AaaS) for any Types of Analytics
Electronic, Logic, Robotic and Electrical Infrastructure, Platforms and Applications
Energy-saving and Green IT Systems or Applications
Middleware and Agents for Cloud, Grid and Cluster Computing
Integration as a Service (data; service; business; federated clouds)
Scheduling, Service Duplication, Fairness, Load Balance for SaaS and Analytics
Tenant Application Development including Customization, Verification, Simulation, and testing on SaaS and Analytics
IaaS, PaaS and SaaS quality of service (QoS), security, reliability, availability, service bus mechanisms
Social Networks and Analytics
User Evaluations and Case Studies
IaaS, PaaS and SaaS, Big Data and Analytics demonstrations and Research Discussions from Computing Scientists, Business IS Academics and Industrial Consultants
Wireless Systems and Applications
e-Government, e-Commerce, e-Science and Creative Technologies for IoT and Big Data
Any emerging services
PAPER SUBMISSION www.iottbd.org
Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity.
Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews.
Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.
PUBLICATIONS
All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library.
A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a International Journal of Information Management .
A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of International Journal of Organizational and Collective Intelligence .
A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of Open Journal of Big Data (OJBD) .
A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of Future Generation Computer Systems Journal .
A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a Journal of Network and Computer Application.
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.
IMPORTANT DATES
Conference Date: 23 - 25 April, 2016
Regular Papers
Paper Submission: October 28, 2015
Authors Notification: January 28, 2016
Camera Ready and Registration: February 12, 2016
Position Papers
Paper Submission: January 5, 2016
Authors Notification: February 5, 2016
Camera Ready and Registration: February 19, 2016
Workshops
Workshop Proposal: November 9, 2015
Doctoral Consortium
Paper Submission: February 16, 2016
Authors Notification: February 24, 2016
Camera Ready and Registration: March 4, 2016
Special Sessions
Special Session Proposal: November 18, 2015
Tutorials
Tutorial Proposal: December 14, 2015
Demos
Demo Proposal: December 14, 2015
Panels
Panel Proposal: December 14, 2015
Details for keynotes, conference chair and program chairs can be found on www.iotbd.org
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