A framework of sensor-cloud integration opportunities and challenges

A framework of sensor-cloud integration opportunities and challenges
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DOI:
10.1145/1516241.1516350
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发表时间:
2009-02
期刊:
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影响因子:
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通讯作者:
Mohammad Mehedi Hassan;Biao Song;Eui-nam Huh
Mohammad Mehedi Hassan;Biao Song;Eui-nam Huh
中科院分区:
其他
文献类型:
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作者:
Mohammad Mehedi Hassan;Biao Song;Eui-nam Huh

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在过去几年中,无线传感器网络(wsn)越来越受到关注,因为它们有可能在工业自动化、环境监测、运输业务、医疗保健等领域提供新颖而有吸引力的解决方案。如果我们把这些传感器收集的数据添加到各种基于网络的社交网络或虚拟社区、博客等,我们就能在“看到”我们自己和我们的星球的能力上有一个显著的转变。我们的主要目标是促进传感器,人员和软件对象的连接,以建立以社区为中心的传感应用。然而,启动这一探索所需的计算工具可能更适合从数据中心“云”计算模型中构建,而不是传统的HPC方法。在本文中,我们提出了一个框架,通过将传感器网络集成到新兴的数据中心“云”计算模型来实现这一探索。但要实现这一框架,还有许多挑战。我们提出了一种基于pub-sub的模型,该模型简化了传感器网络与基于云的社区中心应用的集成。此外,在违反与用户的服务水平协议的情况下,需要联网云提供商。我们讨论了这些问题,并提出了合理的解决方案。
In the past few years, wireless sensor networks (WSNs) have been gaining increasing attention because of their potential of enabling of novel and attractive solutions in areas such as industrial automation, environmental monitoring, transportation business, health-care etc. If we add this collection of sensor derived data to various Web-based social networks or virtual communities, blogs etc., we can have a remarkable transformation in our ability to "see" ourselves and our planet. Our primary goal is to facilitate connecting sensors, people and software objects to build community-centric sensing applications. However, the computational tools needed to launch this exploration may be more appropriately built from the data center "Cloud" computing model than the traditional HPC approaches. In this paper, we propose a framework to enable this exploration by integrating sensor networks to the emerging data center "cloud" model of computing. But there are many challenges to enable this framework. We propose a pub-sub based model which simplifies the integration of sensor networks with cloud based community-centric applications. Also there is a need for internetworking cloud providers in case of violation of service level agreement with users. We discussed these issues and proposed reasonable solutions.