Privacy-Aware Energy Management in the Smart Community using Edge and Cloud Computing Infrastructure

需要一种用于智能环境中的城市传感的新架构，以促进用户定义的服务质量要求，更重要的是，解决以云为中心的方法存在的安全问题。物联网网络的复杂拓扑进一步加剧了这一问题，因为不同的设备必须协同工作，利用多种技术组合来近乎实时地通信和处理数据流。通过协调边缘和云中的分析，我们可以减少延迟并引入系统以适应关键的服务质量限制。特别是，可以在Edge实施隐私保护机制，以解决将数据流传送到云的安全问题。为智能建筑领域的DRM系统提供安全平台，特别是用于能源监测，是当前研究的一个空白。这项提案旨在利用受到严密监控的城市科学大楼收集的真实传感器数据和公开提供的城市天文台数据集，找到解决上述问题的实际解决方案。数据分析的模拟可以由最近提供的工具进一步补充，这些工具可以模拟新兴的物联网和边缘云环境；IOTSim和iFogSim。

A new architecture for urban sensing in the smart environment is required to facilitate userdefined QoS requirements and, importantly, address the security issues that are present with a cloud-centric approach. The complex topology of IoT networks further exacerbates this problem, as heterogeneous devices must work together utilising a combination of technologies to communicate and process data streams in near real-time. By orchestrating the analysis across theEdge and Cloud, we can reduce latency and introduce systems to adapt to critical QoS constraints. In particular, a mechanism for privacy preservation can be implemented at the Edge to address the security issues of streaming data to the Cloud. A secure platform for DRM systems in the smart building domain, specifically for energy monitoring, is a gap in current research. This proposal aims to find practical solutions to the aforementioned concerns, making use of real sensor data collected by the heavily-monitored Urban Sciences Building and the publicly available Urban Observatory datasets. Simulation of the data analysis can be further supplemented by recent tools made available to enable the simulation of emerging IoT and Edge-Cloud environments; IOTSim and iFogSim.