A Dynamic Semantic Metadata Model in Cloud Computing

With the advances in cloud computing technology it is now possible to store a huge number of images and raw data throughout the world. In order to access these distributed data with a reduced latency, this paper describes into the dynamic metadata model in cloud computing database. When designing a metadata, the storage location of metadata and the attributes inside the metadata is of importance for the efficient retrieval of data. We propose a new semantic metadata modeling architecture to reduce the overhead problem while retrieving the data from the data server. With theoretical analysis and experiments we show that our metadata modeling minimizes the latency time for fetching the data by reducing the search time to get the appropriate data.