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Federation of Internet of Things Testbeds for the Realization of a Semantically-Enabled Multi-Domain Data Marketplace

机译:物联网联合测试平台用于实现语义启用的多域数据市场

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摘要

The Internet of Things (IoT) concept has attracted a lot of attention from the research and innovation community for a number of years already. One of the key drivers for this hype towards the IoT is its applicability to a plethora of different application domains. However, infrastructures enabling experimental assessment of IoT solutions are scarce. Being able to test and assess the behavior and the performance of any piece of technology (i.e., protocol, algorithm, application, service, etc.) under real-world circumstances is of utmost importance to increase the acceptance and reduce the time to market of these innovative developments. This paper describes the federation of eleven IoT deployments from heterogeneous application domains (e.g., smart cities, maritime, smart building, crowd-sensing, smart grid, etc.) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day. The paper summarizes the resources that are made available through a cloud-based platform. The main contributions from this paper are twofold. In the one hand, the insightful summary of the federated data resources are relevant to the experimenters that might be seeking for an experimental infrastructure to assess their innovations. On the other hand, the identification of the challenges met during the testbed integration process, as well as the mitigation strategies that have been implemented to face them, are of interest for testbed providers that can be considering to join the federation.
机译:物联网(IoT)概念已经吸引了研究和创新社区很多年的关注。炒作物联网的主要推动力之一是其对众多不同应用领域的适用性。但是,缺乏能够对物联网解决方案进行实验评估的基础设施。在真实环境下能够测试和评估任何技术(例如协议,算法,应用程序,服务等)的行为和性能对于提高认可度和缩短产品上市时间至关重要。这些创新的发展。本文描述了来自异构应用程序域(例如,智能城市,海事,智能建筑,人群感知,智能电网等)的11种IoT部署的联合,总体上拥有10,000多个IoT设备,每天产生数十万次观测。本文总结了可通过基于云的平台获得的资源。本文的主要贡献是双重的。一方面,对联合数据资源的深入了解与可能正在寻求实验基础结构以评估其创新的实验人员有关。另一方面,对于可以考虑加入联邦的测试平台提供者来说,确定测试平台集成过程中遇到的挑战以及为应对这些挑战而采取的缓解策略非常有意义。

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