Integration of Cloud Computing with Internet of Things for Network Management and Performance Monitoring

摘要

The past decade has seen the rapid development of the Internet in many areas. Nowadays, the internet is used widely in every organization. People also have internet usage 24 hours a day. Hence, it is important to monitor the working situation of network equipment all day long. This research is applied Internet of Things and Cloud Computing technology to monitor the operation of computer network devices by monitoring the network condition to be stable, secure, check the operation of the network, record working status and send alerting the administrator. In large scale networks, various problems are often encountered, such as when the server is unavailable due to too many users or when there are network users too much will cause the network to be slow or may not work. For example, which the device may be overused or some error occurs. This proposed platform can analyze problems that may occur in the future, will help reduce costs and damage that will occur when damaged or unusable. Also, it can also analyze the data to reduce the risk that may affect the network. It will be able to use various information to improve network performance, allows administrators to check managing network systems at the same time, multiple machines, and all over. In this testbed experiment, there are a total of 8 network equipment involved. Each device has approximately 48 interfaces, with each interface having an average 5 value. Therefore, the amount of traffic on the network shown is enormous. Researcher studies how to be sure that all data displayed in the system is accurate and reliable. In the process of retrieving the value, the OIDs (Object Identifier) in the MIB (Management Information Base). Hierarchy of each device have different values depending on the model, model type and brand of the device. How to be sure that the value retrieved is displayed as the correct value? Because if the OID value is incorrect, the value received will also be incorrect. The interpretation of the system administrator is also wrong. Another issue is that the values stored in the MIB Database are stored in raw ASCII format. When sending values to a machine that acts as an SNMP manager, the file is in binary format which is an unreadable value. Therefore, in this research, the interpretation of the value obtained must be correctly interpreted is a readable value and is in the unit of the correct value display. In this experiment, using the Raspberry Pi 3 board.