Evaluating performance of web services in cloud computing environment with high availability

This paper presents an methodology for attaining high availability to the demands of the web clients. In order to improve in response time of web services during peak hours dynamic allocation of host nodes will be used in this research work. As web users are very demanding: they expect web services to be quickly accessible from the world 24*7. Fast response time leads to high availability of web services, while slow response time degrades the performance of web services. With the increasing trend of internet, it becomes a part of life. People use internet to help in their studies, business, shopping and many more things. To achieve this objective LAMP platform is used which are Linux, Apache, My SQL, and PHP. LAMP is used to increase the quality of product by using open source software. The proposed strategy will work as middle layer and provide highly availability to the web clients

Early Experience of Remote and Hot Service Deployment with Trustworthiness in CROWN Grid

Abstract. CROWN Grid aims to empower in-depth integration of resources and cooperation of researchers nationwide and worldwide. In such a distributed environment, to facilitate adoption of services, remote and hot service deployment is highly desirable. Furthermore, when the deployer and the target container are from different domains, great security challenges arise when a service is deployed to the remote container. In this paper, we present ROST, an original scheme of Remote & hOt Service deployment with Trustworthiness. By dynamically updating runtime environment configurations, ROST avoids restarting the runtime system during deployment. Moreover, we adopt trust negotiation in ROST to assure the security of service deployment. We conduct experiments in a real grid environment, and evaluate ROST comprehensively

Early experience of remote and hot service deployment with trustworthiness in CROWN grid

CROWN Grid aims to empower in-depth integration of resources and cooperation of researchers nationwide and worldwide. In such a distributed environment, to facilitate adoption of services, remote and hot service deployment is highly desirable. Furthermore, when the deployer and the target container are from different domains, great security challenges arise when a service is deployed to the remote container. In this paper, we present ROST, an original scheme of Remote & hOt Service deployment with Trustworthiness. By dynamically updating runtime environment configurations, ROST avoids restarting the runtime system during deployment. Moreover, we adopt trust negotiation in ROST to assure the security of service deployment. We conduct experiments in a real grid environment, and evaluate ROST comprehensively