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活动简介

Many Internet-of-Things (IoT) applications require real-time analytics to maintain situational awareness and make decisions for quick action. Most real-world IoT environments will involve:
• Multi-latency networks due to heterogeneous network interconnections.
•  Multi-party networks, as different IoT subnets may be deployed and/or owned by different entities.
This workshop will focus on IoT networks in metropolitan-scale areas, aka “metro-scale networks,” which are expected to be widely prevalent in smart city and smart and connected community environments. Algorithms for real-time analytics in these environments must deal with complexities including incomplete and missing data, e.g., due to subnet outages or erroneous data from hardware, network, or software errors, and/or compromised data caused by cyber-attacks.  

征稿信息

重要日期

2017-03-17
初稿截稿日期

征稿范围

  • Concepts and methods for multi-latency and multi-party networks to help define the scope of the problem

  • Concepts, models, and methods for identifying erroneous vs. compromised data

  • Application scenarios 

  • Real-world use cases

  • Decision making with imperfect data, including “undo” concepts 

  • Identification of theoretical, as well as policy, issues

  • Regional/national/international research platforms/testbeds

  • Curriculum and courseware development for education and training

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重要日期
  • 04月22日

    2017

    会议日期

  • 03月17日 2017

    初稿截稿日期

  • 04月22日 2017

    注册截止日期

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