In view of the increasing difficulty in taking a taxi because of the traffic jam, an intelligent taxi calling system based on cloud computing is proposed, which consists of cloud server and Android ends. This paper adopts Map-Reduce model to process the K-means clustering algorithm in a parallel way to improve the quality and efficiency of pushing data on the cloud server side and uses LocationClient interface, MapView interface and MKOfflineMap interface to implement the location service, overlays display and update service and Baidu offline map service respectively on the Android smart ends. And the Remote Procedure Call(RPC) service is used to realize the push of the data information which is serialized by Protocol Buffer(PB) protocol between the cloud server and Android ends. The designed system, which gets about 20% improvement in searching and push efficiency and 90% reduction in data traffic and big improvement in response time.
The media resource files used by multi-projector display system are scattered in the local, and require a lot of storage space. Using local storage system can not hold these files of all projects. Therefore, an online project management solution based on cloud computing for multi-projector display system is proposed. It uses Amazon cloud platform to provide online project management for the multi-projector display projects, and makes use of the mass storage space and scalability computing ability of the cloud platform to support storing the project files online with the help of Amazon file storage services. It uses online project management to register and create project and schedule information, exports all the related project files, packs and uploads them onto the cloud server. Test result shows that the relationship between projects and project files are established, which provides users to manage all of their projects and then release the local storage pressure.