The goal of this workshop is to share and discuss the most advanced researches and development studies in the area of "Big Data Management 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.
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 phenomenon, even social knowledge and intelligence. however, we have not yet found systematic solutions for managing them effectively, and we sometimes fail to extract valuable information from, or to provide advanced services with, the dataset. 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." Workshop topics include, but are not limited to:
Large-scale monitoring platforms
Large-scale control platforms
Data analysis and data applications
Control schemes and decision making
Data models and algorithms
NoSQL data management
Service design and use cases
System architecture and implementation
Communication protocols
Distributed processing (overlays, Hadoop-based, etc.)
Privacy management and anonymization
Social embedding of applications
Application case studies
Performance, scalability, robustness
07月04日
2017
07月08日
2017
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