Dynamic and Scalable Data Access and Integration Services in Cloud Computing Environment

Abstract

Cloud computing has been emerging paradigm which operates on large scales thus requires different approaches and application architectures. This is a suitable option for bulk storage and reporting on the Internet. Cloud computing provides cost-effective business solutions, as it allows hosting of various services including computational power, storage services and network services on shared physical resources. Cloud computing empowers organizations/ enterprises to host scientific, engineering and different business applications. It gives high availability and more accessibility across the globe. However, there is a need to draw attention to the growing trends and growing data of online application services, as well as problems related to accommodating the continued expansion of cloud data centers. Particularly huge storage space and high bandwidth usage resulting in ultimately high operating costs. Now, Cloud-Oriented Storage as a Service (COSaaS) became one of the major aspects of cloud service model in which user can get access storage space dynamically. Here, Service Level Agreement (SLA) violation is one of the key issues of cloud computing. In general, SLA is a contract between service providers and consumers with some conditions like, service availability, service deadline, consistency of service, network congestion etc. In cloud environment, each user has apparent definition of SLA constraints and flexible conciliation procedures that can increase the trustworthiness relationship between users and providers. This thesis proposes a unique framework namely: Dynamic Access and Inte- gration Service (DAIS) that achieve the on-demand and integrated data access in cloud computing environments. The DAIS framework presents unique approach in cloud environment for large-scale storage management.