BIOT: The 5th IEEE International Workshop on Big Data Management and Infrastructure for the Internet of Things

Call for Papers
The goal of this workshop is to share and discuss the most advanced researches and development studies in the area of “Big Data Management and Infrastrucutre for the Internet of Things”. The workshop will gather researchers, engineers and practitioners from academia and industry who are working in this research domain. It will focus on new technical proposals and practical experiences with widely sharing the research issues that we must solve in this research domain. The workshop will provide an excellent opportunity to address the research issues and solutions in sufficient depth and breadth, and is intended to share knowledge and exchange ideas and/or actual field experiences, thereby promoting new studies and research topics in this area.

The “Internet of Things” has developed as a “Big Data” platform which potentially contains the seeds of services, profiles of social-phenoma, even social knowledge and intelligence. However, we have not yet found appropriate solutions for managing, processing and use-of such Big Data. This workshop tries to discover better solutions for Big Data management and infrastructure, which may include (1) the systems for large-scale remote monitoring and control, (2) state-of-the-art data analysis and control schemes, (3) service design and use case identifications, (4) application-oriented systems. The workshop may also discuss basic technologies such as data models, algorithms, distributed systems, and communication protocols.

Scope of the Workshop
A huge number of sensors, actuators and tags are getting networked these days. This leads to the “Internet of Things”, and provides smart and intelligent services to human society. However, this now raises the next question; how should we use the “Big Data” associated to, or collected from, those things? They say that it potentially contains the seeds of services, profiles of social-phenoma, even social knowledge and intelligence. However, we have not yet found systematic solutions for managing and processing them effectively, and we sometimes fail to utilize the dataset and face the difficulties to design the whole system. Thus, in this workshop, in order to discuss and discover better solutions, we welcome papers that explore service platforms (i.e., network systems, architectures, data models and algorithms) that effectively integrate “Internet of Things” and “Big Data”.

The workshop topics include, but are not limited to:
* System architecture and implementation
* Application case studies and practices
* Social embedding of applications
* Large-scale platforms
* Distributed processing (Edge computing, overlays, Hadoop-based, etc.)
* Data analysis and data applications
* Control schemes and decision making
* Data models and algorithms
* NoSQL data management
* Communication protocols
* Privacy management and anonymization
* Performance, scalability, robustness

We respect the works inspired by practical studies with real world interactions because this workshop wants to input the story of real social needs or industrial requirements into the discussion. We also welcome work-in-progress papers.

BIOT Program

Friday July 27, 9:30 – 11:00am
Session 1: IoT Platform & Use Cases
Location: Meeting Hall 1
Session Chair: Susumu Takeuchi, NTT Corporation, Japan

Exploratory Study for Data Visualization in Internet of Things
Mohamad Yuzrie Khalid, Patrick Hang Hui Then, Valliapan Raman

Real-time data-intensive Telematics Functionalities at the Extreme Edge of the Network: Experience with the PrEstoCloud Project
Salman Taherizadeh, Blaz Novak, Marija Komatar, Marko Grobelnik

Secure IoT Agent Platform with m-cloud Distributed Statistical Computation Mechanism
Ikuo Nakagawa, Shinji Shimojo

An Accurate Model for Hurricane Trajectory Prediction
Taylor Cox, Calvin S.H. Hoi, Carson Leung, Caden Marofke

Friday July 27, 11:30 – 1:00pm
Session 2: IoT Data Utilization
Location: Meeting Hall 1
Session Chair: Hideya Ochiai, University of Tokyo, Japan

Introducing Hierarchical Clustering with Real Time Stream Reasoning into Semantic-enabled IoT
Jingyu Sun, Masato Kamiya, Susumu Takeuchi

A New Combined CNN-RNN Model for Sector Stock Price Analysis
Ruixun Zhang, Zhaozheng Yuan, Xiuli Shao

Assisting Replace Method with Method Object: Selecting Fields and Preserving Data Access
Andrea Fornaia, Emiliano Tramontana