Shan ZhouLongxin LinZhenyu HeYan Shu
The programming foundation course which based on Python has become an important basic course for different disciplines in universities. In experimental teaching, the main difficulty is the environment configuration and rapid deployment of Python. Virtualization technology is a common method to solve this problem. However, there are some problems, such as low resource utilization, insufficient support for concurrent, slow start, and so on. So, a new method for constructing the teaching experiment platform of the course using Docker container technology is proposed. This method can quickly realize the dynamic allocation, deployment and management of the running environment image according to the needs of students. Experimental results show that this method has obvious advantages in terms of resource utilization, concurrent users, response time, construction cost and so on, compared with virtual machine technology
Jrgen CitoHarald GallDe PaolisLucio TommasoPatrick BourdotYuvarajan DevarajanBeemkumar NagappanGautam ChoubeySuresh VellaiyanKulmani MeharGanapathy DhanrajShanmugam RajeshkumarShimon IfrahS KamathK ManjunathD SridharV JaisonB GopinathNilkantha Mohamed IbrahimA GuptaP SundaramS SivaperumalS PadmapriyaPatilSean KaneKarl MatthiasJoseph NandhiniShanmugam Devaraj EzhilarasanRajeshkumarMayank ParakhShriraam UlaganambiNisha AshifaReshma PremkumarAmit JainKarthikeyan PerumalJoseph AntonySubagunasekar MuthuramalingamQuoc PhamSupat HoaGunawan ChupraditMuataz WidjajaRustem AlhassanMagizovFakri YasserAravindhan MustafaAmirzhan SurendarZeinab KassenovWanich ArzehgarSuksatanRamalingam SathiyamoorthiGomathinayakam SankaranarayananDinesh Babu MunuswamyYuvarajan DevarajanTesfaye JuleLetaKrishnaraj RamaswamyNagaraj NagaprasadVigneshwaran ShanmugamVenkataraman VigneshG UganyaN RadhikaVijayaraj
Xiaolian LiYuling JiangYu DingDaiming WeiXianying MaWenling Li
Felipe OliveiraJean AraújoRubens MatosPaulo Maciel