In recent years, when applications such as the Internet of Things with massive data requirements are becoming more and more common, grasping cloud computing technology has become a trend from the perspective of scientific research and application development. As one of the main areas of IoT applications, smart homes are naturally inseparable from cloud computing. The development of cloud computing enables users to implement large-scale distributed system provisioning and parallel processing of massive data without paying attention to complex internal working mechanisms and without extensive knowledge of distributed systems and development experience.
Hadoop is one of the more mature and widely used cloud computing architectures. The core idea of ​​Hadoop is distributed parallel processing. Key technologies in Hadoop technology are HDFS (Distributed File System) and Map/Reduce (Map/Reduce). Hadoop uses HDFS to store massive amounts of data and uses Map/Reduce to calculate massive amounts of data.
Firstly, the concept of smart home and cloud computing is introduced. Then, the hardware cost of traditional massive data processing method is too high, and there is a problem of computational bottleneck. Based on the theory of cloud computing, it is aimed at the access control system, temperature and humidity system in smart home. The drip irrigation system and lighting system built a data processing platform based on Hadoop. A large amount of sensor information can be distributed and parallel processed, and instructions are sent to the underlying device according to the processing result to implement intelligent service.
1 smart home and cloud computing
1.1 Smart Home
At present, smart home is usually defined as a system that combines various subsystems related to home life through a home information management platform by using computers, networks, and integrated wiring technologies. First of all, it is necessary to establish a communication network in the home to provide necessary access for family information interaction and transmission. Under the control of the operating system of the home network , through the corresponding hardware and executing agencies, the home appliances and equipment on all home networks can be realized. Control and monitoring. Secondly, the smart home system needs to provide a communication channel with the outside world through a certain media platform to realize communication with the world outside the home to meet the needs of remote control/monitoring and exchanging information.
1.2 Cloud Computing Architecture Hadoop
Hadoop is a distributed computing framework that runs applications on a cluster of inexpensive hardware devices, providing a stable and reliable set of interfaces for applications with high reliability and scalability. system. The main advantages of Hadoop are: strong capacity expansion, low cost, high efficiency, high reliability, free open source and good portability. The Hadoop project consists of several sub-projects, but mainly consists of two main sub-projects: Hadoop Distributed File System (HDFS) and Map/Reduce Engine.
Magnetic Buzzer,Buzzer Magnet,Magnetic Buzzer Transducer,Magnetic Audio Transducer Buzzer
NINGBO SANCO ELECTRONICS CO., LTD. , https://www.sancobuzzer.com