Design And Implementation Of Cloud Mnitoring System Based On Cluster Server

With the rapid development of computer technology, people enter information age is also suffered all kinds of security problems plagued : personal information continue to be stolen, the network is often attacked by illegal intrusion, even lead to the paralysis of the computer system.How to monitor the bad information in the network effectively is a long-term research and development in the field of information security.Due to the continuous development of computer technology and the improvement of network, the disadvantages of traditional monitor ing technology has become more and more obvious, it is difficult to meet the people’s requirements for information security.C loud monitoring system based on cloud security is the integration of resources by the idea of "cloud" quickly and effectively to the nodes in the network monitoring.This monitoring system has some advantages and broad development space.Paper describes the cloud monitoring of research background, research significance and research status at home and abroad and the analysis of cloud computing concept, system structure and service mode, focuses on the architecture of cloud monitoring classification, monitoring technology, cloud computing research principle, type and in-depth analysis of Yunping and necessity.Finally, through a relatively mature cloud monitoring system to demonstrate the application of cloud security.Mainly the following aspects: in this paper, we give the definition of cloud computing, technology structure, service model and deployment model.The current popular cloud platform is introduced, and their advantages and disadvantages are compared and analyzed..In particular, the Amazon platform and its key technologies are analyzed in detail.This paper constructs a relatively perfect cloud monitoring system.The whole system is based on C/S architecture, the division of the functions of the system can be divided into four parts: data monitoring, threshold settings, parameters acquisition and control nodes.Before the implementation of the system, the system structure, the monitoring flow and the data transmission model of the system are described. Then from the above four aspects of the realization of ideas and part of the code.Analysis of the main content of monitoring, including the server monitoring, web pages available monitoring, website of foreign server monitoring, web content monitoring and Apathe monitoring.O n the client side using C/C++ language and the SQLite database, thread pool technology, data CJSON exchange format and Push&Pull data transmission model and client monitoring node of data acquisition, storage and monitoring control services detailed cloud data center resources monitoring system design and calculation.Server using C# language, HTML, JSON technology, to achieve the task of acquiring, receiving test results, calculate the average value, written to the database, provides the user interface, alarm judgment, send alarm content.The database is MySQ L database(Database Primary) and Database Results.Database of test results for each client monitoring nodes return data information storage and standby servers within a fixed period of time by statistical test results. Finally, the results are stored to the database.Then discusses the thread pool technology in queuing theory model task request random process, focusing on analysis of the data transmission model, including push and pull algorithm.Finally with the experimental data of the system performance evaluation; cloud computing development trend in the future is prospected, and analyzed the problems of the monitoring model.Anyway, working principle of cloud computing and security were certain exploration, providing some evidence for further study of cloud monitoring principle and advanced application.Through data centers in the cloud computing resource monitoring system research and design, on the one hand, study the cloud monitoring system to realize the problems encountered in the process; on the other hand can provide some reference and help the future commercial cloud monitoring.