Real-Time Data Management for IoT in Cloud Environment

摘要

Internet of Things (IoT) is changing the physical world. Billions of smart objects across the world generate sensed data about the environmental changes and report them. These sensed data create a lot of traffic in the network, a lot of redundancy, and duplicated records, and increase the storage size in BigData in cloud computing. Some of the sensed data are required to perform a real-time action. In this paper, we propose a framework to provide the decision makers in today's organizations with real-time data that could help them make better decisions. In addition, it could filter and fuse the data with Adaptive Sampling rate using Feedback control mechanism (FCM) in the network layer. The proposed framework will reduce the number of IoT records. Moreover, it avoids a lot of traffic in the network, increases the network life, and minimizes the energy consumption. The proposed approach can help most of Businessmen in their decisions, increases the performance and reduces the cost. It can also be applied to any Business-like ERP, CRM, and SCM. We have implemented and tested it by SQL and CQL. The results of the experiments show that the reduction has been achieved by 82.34 percent compared to the base one. This reduction has improved the energy consumption in the traffic in the network layer, generating an efficient BigData in terms of non-noise, storage capacity and cost.