基于Pub/ sub的云环境传感器虚拟化框架

Mohammad Hasmat Ullah, Sung-Soon Park, Jaechun Nob, Gyeong-Hun Kim
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引用次数: 1

摘要

物联网(IoT)等无线传感器与云之间的交互是克服资源和效率限制的通信虚拟化新范式。云计算提供了无限的平台、资源和服务,几乎涵盖了计算的所有领域。另一方面,无线传感器网络(WSN)因其潜在的支持和有吸引力的解决方案而受到关注,如物联网,环境监测,医疗保健,军事,关键基础设施监测,家庭和工业自动化,运输,商业等。此外,我们的虚拟群体和社交网络是信息共享的主要角色。然而,这种传感器网络在可扩展性、容错性、可靠性和开放性等方面缺乏资源、存储容量和计算能力。这些数据还不能提供给社区团体或云环境用于一般目的的研究或利用。如果我们将这些WSN驱动的数据添加到云环境和虚拟社区中,从而缩小现实世界与虚拟世界之间的差距,那么它将得到各方的极大关注,并在各个领域给我们带来好处。提出了一种基于Pub/ sub的传感器虚拟化框架云环境。这种集成为社区提供了带有传感器驱动数据的资源、服务和存储。我们将虚拟物理传感器作为云计算上的虚拟传感器,而中间件和虚拟传感器则在终端用户需要时自动提供给他们。我们的体系结构向最终用户提供服务,而不关心其实现细节。此外,我们还提出了一种高效的基于内容的事件匹配算法来分析订阅并以经济有效的方式发布合适的内容。我们对我们的算法进行了评估,与之前提出的算法相比,我们的算法表现出更好的性能。
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Pub/Sub-based Sensor virtualization framework for Cloud environment
The interaction between wireless sensors such as Internet of Things (IoT) and Cloud is a new paradigm of communication virtualization to overcome resource and efficiency restriction. Cloud computing provides unlimited platform, resources, services and also covers almost every area of computing. On the other hand, Wireless Sensor Networks (WSN) has gained attention for their potential supports and attractive solutions such as IoT, environment monitoring, healthcare, military, critical infrastructure monitoring, home and industrial automation, transportation, business, etc. Besides, our virtual groups and social networks are in main role of information sharing. However, this sensor network lacks resource, storage capacity and computational power along with extensibility, fault-tolerance, reliability and openness. These data are not available to community groups or cloud environment for general purpose research or utilization yet. If we reduce the gap between real and virtual world by adding this WSN driven data to cloud environment and virtual communities, then it can gain a remarkable attention from all over, along with giving us the benefit in various sectors. We have proposed a Pub/Sub-based sensor virtualization framework Cloud environment. This integration provides resource, service, and storage with sensor driven data to the community. We have virtualized physical sensors as virtual sensors on cloud computing, while this middleware and virtual sensors are provisioned automatically to end users whenever they required. Our architecture provides service to end users without being concerned about its implementation details. Furthermore, we have proposed an efficient content-based event matching algorithm to analyze subscriptions and to publish proper contents in a cost-effective manner. We have evaluated our algorithm which shows better performance while comparing to that of previously proposed algorithms.
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