Platform Autonomous Custom Scalable Service using Service Oriented Cloud Computing Ar
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ABSTRACT

          The global economic recession and the shrinking budget of IT projects have led to the need of development of integrated information systems at a lower cost. Today, the emerging phenomenon of cloud computing aims at transforming the traditional way of computing, by providing both software applications and hardware resources as a service. With the rapid evolution of Information Communication Technology (ICT) governments, organizations and businesses are looking for solutions to improve their services and integrate their IT infrastructures. In recent years, advanced technologies such as SOA and Cloud computing have been evolved to address integration problems. The Cloud’s enormous capacity with comparable low cost makes it an ideal platform for SOA deployment. This paper deals with the combined approach of Cloud and Service Oriented Architecture along with a Case Study and a review.
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Testing as a service (TaaS) in a cloud environment can take advantage of the computing power provided by the cloud. Specifically, the tests can be scaled to large, dynamic workloads, executed in a distributed environment with hundreds of thousands of processors, and these processors can support the concurrent and distributed execution and analysis of the tests. TaaS can be deployed as SaaS and used to test SaaS applications. This article proposes a TaaS design for the SaaS combinatorial test. Algebra test (TA) and adaptive reasoning algorithm (AR) are used in the TaaS design.

The global economic downturn and the reduction of IT project budgets have led to the need to develop integrated information systems at a lower cost. Today, the emerging phenomenon of cloud computing aims to transform the traditional form of computing, providing both software applications and hardware resources as a service. With the rapid evolution of Information and Communication Technologies (ICT) governments, organisations and companies are looking for solutions to improve their services and integrate their IT infrastructures. In recent years, advanced technologies such as SOA and cloud computing have been developed to address integration issues. The huge capacity of the cloud with a comparable low cost makes it an ideal platform for SOA deployment. This article discusses the combined approach of Cloud and Service Oriented Architecture along with a case study and a review.
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