Abstract SaaS (Software-as-a-Service) is a service model provided by cloud computing. It
has a high requirement for QoS (Quality of Software) due to its method of providing software …

Nowadays, the data used for decision-making come from a wide variety of sources which
are difficult to manage using relational databases. To address this problem, many …

In an era of super computing, data is increasing exponentially requiring more proficiency
from the available technologies of data storage, data processing, and analysis. Such …

Relational database has been the de-facto database choice in most IT applications. In the
last decade there has been increasing demand for applications that have to deal with …

Analyzing the multi-dimensional data in faster way is an important and basic aspect in any
clustering mechanism. At the same time the clustering mechanism should provide a security …

The emergence of applications dealing with structured, semi structured, and non-structured
data created demands on new data storage systems. The relational model, widely used to …

Nowadays there is a growing need for collecting and processing data from different sources
in heterogeneous and semistructured formats. Scientists and companies are strongly urged …

Cloud data stores that can handle very large amounts of data, such as Apache HBase, have
accelerated the use of non-relational databases (coined as NoSQL databases) as a way of …

Data transformation is the core process in migrating database from relational database to
NoSQL database such as column-oriented database. However, there is no standard …

Handling complexity in the data of information systems has emerged into a serious
challenge in recent times. The typical relational databases have limited ability to manage the …