基于反馈的雾辅助物联网云智能家居自动化资源利用

B. Mallikarjuna
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引用次数: 11

摘要

本文提出的基于反馈的资源管理方法为基于物联网(IoT)的云数据中心与最终用户之间提供数据处理、海量计算、大存储和网络服务。物联网的实时应用,如智慧城市、智能家居、医疗管理系统、交通管理系统、交通管理系统等,需要更少的响应时间和延迟来处理海量数据。提出的基于反馈的资源管理计划提供了一种新的资源管理技术,该技术由集成的体系结构组成,并维护服务水平协议(SLA)。它可以优化能耗、响应时间、网络带宽、安全性和降低延迟。利用IFogSim工具包对实验结果进行了测试,证明了该方法的有效性,适用于基于物联网的云环境下的智能通信。
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Feedback-Based Resource Utilization for Smart Home Automation in Fog Assistance IoT-Based Cloud
In this article, the proposed feedback-based resource management approach provides data processing, huge computation, large storage, and networking services between Internet of Things (IoT)-based Cloud data centers and the end-users. The real-time applications of IoT, such as smart city, smart home, health care management systems, traffic management systems, and transportation management systems, require less response time and latency to process the huge amount of data. The proposed feedback-based resource management plan provides a novel resource management technique, consisting of an integrated architecture and maintains the service-level agreement (SLA). It can optimize energy consumption, response time, network bandwidth, security, and reduce latency. The experimental results are tested with the IFogSim tool kit and have proved that the proposed approach is effective and suitable for smart communication in IoT-based cloud.
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