活动简介

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.

征稿信息

征稿范围

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

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重要日期
  • 会议日期

    07月04日

    2017

    07月08日

    2017

  • 07月08日 2017

    注册截止日期

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IEEE Computer Society
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