Dynamic service composition towards database virtualization for efficient data management

Abstract

Automated data centric technology of Cloud computing facilitate the end users through the service module, named SaaS. Where, these group of end users are either be skilled or unskilled. Recently, the most intellectual decision is to retrieve the requested data from the enormous flooded data storage through the service based cloud architecture by any type of cloud users through the remarkably efficient way using the methodologies like DBaaS, multi-tenancy, database integration. Among them, multi-tenancy and database integration can be applicable in the SaaS service model through the tightly coupled nature of service composition. But, this static service composition suffers from implementation complexity, cost factor, flexibility and scalability for further database adaptability and efficient data availability. Here, the proposed Dynamic Service Composition (abbreviated as DSC) methodology is sophisticated enough to retrieve different types of data from the multiple heterogeneous cloud databases after connectivity setup with new databases at runtime and on-demand basis. This dynamic database connectivity through the loosely coupled service composition is able to supply the requested data within a revolutionary computational speed. This methodology is able to overcome the challenges introduced by static service composition. DSC can govern multiple cloud databases through the flexible services connectivity without any information about their position in the cloud. This concept can be termed as database virtualization. Overall, the proposed DSC mechanism can monitor heterogeneous cloud databases and is responsible for significant growth over computational power for efficient data availability within a remarkable lower cost in a flexible and scalable way.