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Cloud computing a big pool of resources dynamically reconfigures its resources as per user requirement in real time. Cloud environment mostly works with virtualized environment, which is a key consideration for providing virtual machines as a service to the users. It is difficult to manage virtual machine, and to deploy on any data centers. In cloud environment users expects better services from the vendors, in order to improve resource utilization. The factors in cloud environment as if scalability and availability are consider for better outcomes for users. This not only saves time, but also improves cost utilization. This paper proposes architecture, based on clustering virtual machines in datacenters for higher availability of resources with improved scalability. Clustering helps virtual machines to reconfigure and easy scheduling. The resource sharing in cloud will optimize and users get maximized result. Further, the paper directs a mathematical model for explaining the concepts of the proposed system. The existing system is being modulated using simulation tools and further elaborated in the paper.

IT enabled organizations strive for overall improvement in performance with the use of tools capable of forecasting the stability and growth as well as failure. This paper contributes by introducing a technique and a model in Business process reengineering with Theory of constraints using dynamic workflow system enhanced with artificial intelligent 'agents' to observe the impact of flexibility on the performance of the organization. The paper also presents a model that has been verified by a developed tool which majorly deals with runtime change management capable of dealing with flexibility by change in workflow system in the domain of Human resource management.

No matter what type of area, application, operating system or programs is used workflow technology is used to enhance it to make work user friendly & simple. In order to adequately support the execution of business processes in an increasingly turbulent world with shorter cycle times, workflow management systems must provide higher support for flexibility by easy & simple ways. When applying business process reengineering the significance of workflow technology has been now observed to a great extent. Workflow technology is currently being deployed in quite diverse domains. However, the element of change is present in some degree and form in almost all domains. A workflow implementation that does not support the process of change will not benefit the organization in the long run. Change can be manifested in different forms in workflow processes. In this paper, we first study workflow in its dynamic, adaptive & flexible kinds of processes. Here, we can say that flexibility is the ability of the workflow process to run on the basis of a loosely, or partially coupled model, where the full definition of the model is made at runtime, and may be unique to each instance of execution.

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