A smart learning basing on computing area network
Guo Ben · Journal of Sichuan University · 2013
With the emergence and rapid development of the Internet of Things,at present,objects universally linked with the network,which raised more generally adapt to the requirements of the service migration on Ubiquitous computing environment.And the Internet of Things Pervasive Computing shift to the field of intelligent services.And,as an extension of the intelligent services,mobile learning is kind of smart-learning.This paper puts forward a This paper puts forward a smart-learning model,which is based on the dynamic virtual reorganization of thesmall size calculation area network: ① Smart-learning space(SLS),which can effectively support the Pervasive Computing in the areas of the service discovery,assessment implementation and services push.② Learning service migration model(SMCAN)realize the dynamic-computing-services migration of DCS(data,code,state).the main contribution of this paper is that:①Internet of Things adopts fine-grained,hot-swappable service and the dynamic-reorganization-virtual system to realize service-forecast,service execution capability assessment and service matching;②The SLS and SMCAN migration model use computing area network as the core point and the commanding point,and provide new ideas for the research on pervasive-computing intelligent-service of the Internet of Things.