Cloud computing is an emerging, computing paradigm in which tasks are assigned to software, combination of connections, and services accessed over a network. This connections and network of servers is collectively known as the cloud. Instead of operating their own data centers, users might rent computing power and storage capacity from a service provider, paying only for what they use. Cloud storage involves the delivery of data storage as service including database. If the data is stored in cloud, it must provide the data access and heterogeneity. With the advances in cloud computing it allows storing of large number of images and data throughout the world. This paper proposes the indexing and metadata management which helps to access the distributed data with reduced latency. The metadata management can be improved for a file system in large scale applications. When designing the metadata, the storage location of the metadata and attributes is important for the efficient retrieval of the data. Indexes are used to quickly locate data without having to search over every location in storage. Based on these two models, the data can be easily fetched and the search time was reduced to retrieve the appropriate data.
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