A tensor-based distributed discovery of missing association rules on the cloud

摘要

A novel method for handling large amounts of data in the cloud is presented in this well-written paper. It offers significant contributions to cloud computing research into how multidimensional data can be stored and parsed in the cloud using a framework, particularly for distributed data correlation. The idea is very innovative and is useful for cloud computing researchers, especially those involved in cloud database development using tools like Hadoop and Nagios for their work. However, the paper lacks experimental results to show how this theory can be applied. It is a useful starting point for new researchers, but because of the lack of experimentation, it fails to convince me that this theory is substantive. Overall, it is a good paper to read and learn from when working with cloud databases.