[ecoop-info] International Conference on Internet of Things and Big Data 2016 (IoTBD 2016), Rome, Italy, April 23-26 2016 (due on Oct 28)

[Chang V.I.]

Dear colleagues,

We have IoTBD 2016 conference to be hosted in Rome, Italy, between 23rd and 25th of April, 2016. Submission deadline is October 28. Top papers will be invited by high quality journals. Hope you'll submit. See you!

Thanks and regards,

Victor

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Website: www.iotbd.org
Venue and date: Rome, Italy, April 23-25, 2016
Regular paper deadline: Oct 28, 2015

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) FUNDAMENTALS
2.      INTERNET OF THINGS (IOT) APPLICATIONS
3.      BIG DATA RESEARCH
4.      BIG DATA AND COMPLEX BIOLOGICAL SCIENCE
5.      EMERGING SERVICES AND ANALYTICS

AREA 1: INTERNET OF THINGS (IOT) FUNDAMENTALS

*       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) APPLICATIONS

*       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 IoT and Big Data
*       Software Engineering Approaches, including Formal Methods, Agile Methods and Theoretical Algorithms for IoT and Big Data
*       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 IoT and Big Data, Grid and Cluster Computing
*       Integration as a Service (data; service; business; federated IoT and Big Data)
*       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

Consultants
*       Wireless Systems and Applications
*       e-Government, e-Commerce, e-Science and Creative Technologies for IoT and Big Data
*       Any emerging services

PAPER SUBMISSION


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
•       Future Generation Computer Systems Journal (FGCS, IF = )
•       Journal of Network and Computer Application (JNCA)
•       International Journal of Information Management (IJIM)
•       International Journal of Organizational and Collective Intelligence (IJOCI).
•       Open Journal of Big Data (OJBD)
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
Facebook: https://www.facebook.com/ES2014ECs2015