A cloud approach on distributed multiple servers for distance learning
Yoshio Moritoh, Yoshiro Imai · 2012
Cloud Computing is currently focused from various fields of engineering. Such a strategy is widely accepted in many domains of information processing and communication. Our study also employs a cloud approach for distance learning with distributed multiple server system. Distance learning is already realized on a single server and provides its service for many learners who are in distributed network environment. This time, we have tried to migrate such a distance learning mechanism to distributed multiple servers and realize its service as a kind of Cloud Computing. So our scheme has been customized as a cloud approach which can utilize Cloud Computing for Distance Learning using distributed multiple server system. The paper introduces our environment of previous studies about distance learning for computer architecture and others. Such an environment is tailored into distributed multiple servers and then implemented and utilized for position-independent clients to obtain some kinds of cloud services. Such a mechanism has been realized by means of virtualized-server approach and its specification can be improved to horizontal migration of virtualized servers.