首页> 外文会议>2014 International Conference on Future Internet of Things and Cloud >Fog Computing and Smart Gateway Based Communication for Cloud of Things
【24h】

Fog Computing and Smart Gateway Based Communication for Cloud of Things

机译:基于雾计算和基于智能网关的物联网通信

获取原文
获取原文并翻译 | 示例

摘要

With the increasing applications in the domains of ubiquitous and context-aware computing, Internet of Things (IoT) are gaining importance. In IoTs, literally anything can be part of it, whether it is sensor nodes or dumb objects, so very diverse types of services can be produced. In this regard, resource management, service creation, service management, service discovery, data storage, and power management would require much better infrastructure and sophisticated mechanism. The amount of data IoTs are going to generate would not be possible for standalone power-constrained IoTs to handle. Cloud computing comes into play here. Integration of IoTs with cloud computing, termed as Cloud of Things (CoT) can help achieve the goals of envisioned IoT and future Internet. This IoT-Cloud computing integration is not straight-forward. It involves many challenges. One of those challenges is data trimming. Because unnecessary communication not only burdens the core network, but also the data center in the cloud. For this purpose, data can be preprocessed and trimmed before sending to the cloud. This can be done through a Smart Gateway, accompanied with a Smart Network or Fog Computing. In this paper, we have discussed this concept in detail and present the architecture of Smart Gateway with Fog Computing. We have tested this concept on the basis of Upload Delay, Synchronization Delay, Jitter, Bulk-data Upload Delay, and Bulk-data Synchronization Delay.
机译:随着在无处不在和上下文感知计算领域中的应用不断增加,物联网(IoT)变得越来越重要。在物联网中,无论是传感器节点还是哑对象,实际上任何东西都可以成为其中的一部分,因此可以产生非常多种类型的服务。在这方面,资源管理,服务创建,服务管理,服务发现,数据存储和电源管理将需要更好的基础架构和复杂的机制。单独的受功率限制的IoT无法处理将要生成的IoT数据量。云计算在这里发挥了作用。物联网与云计算(称为物联网(CoT))的集成可以帮助实现预期的物联网和未来互联网的目标。这种物联网与云计算的整合并非直截了当。它涉及许多挑战。这些挑战之一是数据修整。因为不必要的通信不仅给核心网络带来负担,而且还给云中的数据中心带来负担。为此,可以在将数据发送到云之前对数据进行预处理和修剪。这可以通过带有智能网络或雾计算的智能网关来完成。在本文中,我们详细讨论了这一概念,并介绍了具有雾计算功能的智能网关的体系结构。我们已经基于上载延迟,同步延迟,抖动,批量数据上载延迟和批量数据同步延迟对这一概念进行了测试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号