Open Laboratory Management System Based On Virtualization Technology

With the promotion of experimental teaching content,massive data applications need to be migrated to the experimental teaching platform.The problems of heterogeneous network,static resources,management complexity and high cost become important breakthroughs in the wave of a new round of educational reform.This paper proposes an open laboratory management system based on virtualization technology.Server virtualization,the intelligence of network devices and other technologies are applied to achieve open and intelligent management.The computing resources are optimized in the cloud computing environment and the clients are minimized.Thus,teachers and students can enjoy more quality experimental teaching services.First of all,a large cloud platform that is suitable for massive data computing and storage is built.And the user data,application software are deployed in the server cluster.Parallel and distributed computing technology is applied to provide users with high-performance services.The thin clients replace the host,which reduced the cost of laboratory construction greatly and improved the scalability of hardware devices.Video redirection technology is used to ensure the effect of client video playback.using.,The video files are sent to the thin client directly and decoded by the ARM hardware for playback,which reduced the occupation of the server CPU.In order to achieve the same user experience of cloud desktop with the PC.RDP8.0 efficient delivery protocol,automatically detection of the network status,adaptive graphics and media flow are adopted to improve the transmission efficiency.Second,the open laboratory management system website are designed and implemented.The features of this system include:equipment information management,resource statistics,booking management,curriculum management,user management,etc.The system not only achieves the basic information of electronic management,but also provides students with an integrated experimental booking service and guidance.Moreover,it provides scheduling function of experiment courses for teachers.The problem of scheduling is an NP-complete problem(the non-deterministic problem of polynomial complexity),and the complexity of the experimental class arrangement is higher than that of the general theory course.Therefore,a combination of automatic scheduling algorithm and manual course selection is proposed.The automatic scheduling algorithm uses the priority search and comparison to replace the shortest path rule,which simplifies the search level and reduces the spatiotemporal complexity of the scheduling algorithm.Finally,the wireless control terminals of device power is designed and implemented.AP nodes are distributed to each experimental equipment.The intelligent control of the power supply of the equipment is realized by arranging the Wi-Fi network.After the success of appointment,students will receive an SMS by SMS module automatically and swiping cards to turn on the computer by themselves.The client server will send commands to supply the device power.In real experiment,the video transmission is smooth,and the thin client can receive video,transcode and play in time.When a new client is added to play video,the server CPU,memory,occupied bandwidth and other indicators will increase by about 4.5%.Each client takes about 1.4Mbps broadband and the network delay is less than 1.3s,which can meet the requirements.