An approach for improving performance of Web services and cloud based applications

Web services provide functionalities to the users. Software products and services require high quality. Quality parameters of Web and cloud based applications includes scalability, balancing workload, high availability and other parameters. The objective of the paper to improve the performance of web in cloud based applications. Cloud based applications provide services to the users such as platform as service (PaaS), Infrastructure as Service(IaaS) and Software as Service(SaaS). For design and development of large scale computer model with high storage, demand processing, intensive application for tightly coupled infrastructure with distributed computing applications. One of the important services for Cloud applications is Infrastructure as Service (IaaS) and this provides storage, network computing, cloud files and virtual machines on demand. The problem is to access applications with scalability and distributed computing and interoperability grid of applications. We proposed a cloud service selection model, it find the services on demand and provides the cloud services with quality parameters. The programming model is Simple API for GRID application (SAGA) that will provide data on high performance grids connecting through various applications and it will use a map reduce algorithm is expected to improve the performance of Web services and cloud based applications.